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Journal logoJOURNAL OF
APPLIED
CRYSTALLOGRAPHY
ISSN: 1600-5767

Coherent multiple scattering in small-angle scattering experiments: modeling approximations based on the Born expansion

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aForschungszentrum Jülich GmbH, Jülich Centre for Neutron Science JCNS at MLZ, 85748 Garching, Germany, and bDepartment of Chemical Engineering, University of Liège B6 A, 3 Allée du Six Août, 4000 Liège, Belgium
*Correspondence e-mail: [email protected]

Edited by E. P. Gilbert, Australian Centre for Neutron Scattering, ANSTO, Australia (Received 10 April 2025; accepted 25 July 2025; online 4 September 2025)

We start from an analytical formulation for the coherent multiple scattering treatment – similar to Mie scattering – for spherical particles. Then, we revisit the Born approximation with an approximation for all higher-order terms. Finally, we draw conclusions from those calculations and formulate an approximative model to describe ultra-small-angle neutron scattering and ultra-small-angle X-ray scattering data. In all calculations, we can specify the conditions for coherent multiple scattering. Several examples are provided to show the quality of the simple approximation in comparison with exact calculations and experiments.

1. Introduction

In elementary discussions of small-angle scattering of neutrons or X-rays (SANS or SAXS), it is generally assumed that the particle interacts with the sample through a single scattering event. This assumption underlies the Born approximation, whereby the scattered intensity is analyzed in terms of the correlation function of the scattering-length density. This formalism, however, breaks down for large scattering cross sections or thick samples. In that case, multiple scattering has to be considered.

In the historical approach of Schelten & Schmatz (1980View full citation), the successive scattering events undergone by a particle are considered to be independent of one another. This is justified if the following two conditions are satisfied. First, the consecutive scattering events have to occur far enough from each other for the local structures at scattering points to be uncorrelated such that the particle coherent length is smaller than the mean free path of the probe. Second, the sample thickness must be large enough to cover multiple scattering events. Then, the scattering patterns are just added up independently. Many reports have been published to describe these effects and to propose deconvolution procedures for data analysis (Jaksch et al., 2021View full citation; Jensen & Barker, 2018View full citation; Copley, 1988View full citation; Ji et al., 2022View full citation). We refer to this situation as incoherent multiple scattering, which is not to be confused with incoherent neutron scattering by hydrogen atoms.

When the scattering events come closer to each other, the underlying structures in the sample are correlated, and coherent superposition of different waves may occur (Mazumder & Sequeira, 1992View full citation). This effect is captured by the characteristic length scale ξ of the sample, which most experimentalists consider to be the correlation length relevant to the first-order Born approximation (Roe, 2000View full citation; Hamley, 2021View full citation). The validity of the Born approximation means that only one scattering event happens within the sample.

The coherent superposition of different waves is already well established in theoretical concepts of reflectivity measurements (Gibaud, 1999View full citation), the dynamic treatment of single-crystal diffraction (Authier, 2001View full citation) and small-angle light scattering from independent particles (Mie, 1908View full citation). The complexity of the theories increases as one considers more adaptations to the sample structure as indicated in this list. In the matrix formalism of reflectivity (Gibaud, 1999View full citation), only the normal direction of the sample with resulting reflections from there is considered. The distorted wave Born approximation (Pospelov et al., 2020View full citation) – in terms of multiple scattering – does not go beyond this understanding. For single-crystal scattering (Authier, 2001View full citation), all three dimensions are involved. For the well known Mie scattering by spherical particles (Mie, 1908View full citation), the complex boundary conditions of the whole surface are taken into account. Although this was derived for polarized light, a simplified version is available for quantum scalar waves. The latter is applicable to neutron scattering, as well as to light scattering when polarization is not an issue.

The conditions for multiple scattering to occur are governed by the interplay of various parameters, namely the wavelength λ of the incoming particle, a characteristic size ξ of the scattering microstructure and the scattering contrast within the sample Δρ.

In a simplified qualitative understanding, the sample must contain large enough inner surfaces where reflections can occur. That brings us automatically to the domain of very small angle and ultra-small-angle scattering (VSAS and USAS) (Barker et al., 2005View full citation; Magerl et al., 2024View full citation; Ji et al., 2022View full citation; Zhang & Ilavsky, 2010View full citation), where we would locate the effect of coherent multiple scattering. A certain treatment (Hentschel et al., 1987View full citation) allows one to describe a Mathematical equation power-law `scattering' pattern for fibers which orientationally averaged would agree with the well known Mathematical equation Porod scattering. Here, we formulate an approximation within which we describe deviating scattering patterns that differ from the Born approximation. This is a matter also of coherence from the probe: does the coherence volume of the probe contain the correlation volume of the sample or not? If it does, waves from different interface spots can superimpose coherently; if not, we observe independently refracted beams. In this article we derive expressions for the coherent multiple scattering and connect the findings to already well known observations. In this way, we hope to extend the understanding and interpretation of small-angle scattering experiments.

2. Exact solution for a spherical colloid

The elastic scattering cross section of a sphere in the first-order Born approximation is a central result in small-angle scattering (Roe, 2000View full citation; Hamley, 2021View full citation). It is given by the following well known expression:

Mathematical equation

where R is the radius of the sphere, Mathematical equation is its scattering-length density contrast with respect to the surrounding solvent (a full list of all symbols is given in Table 1[link]) and

Mathematical equation

is the Fourier transform of the sphere (Pedersen, 1997View full citation), normalized such that Mathematical equation is unity. The volume of the sphere is Mathematical equation. Here q is the modulus of the scattering wavevector defined such that Mathematical equation is the momentum difference between the incoming and scattered neutrons. The notation `bulk' highlights that the quantity relates to the volume of the sphere, to differentiate it from the surface scattering which we introduce later.

Table 1
This table presents all symbols used in the article

Symbol Meaning
a Area of the colloid surface or correlation area of the surface scattering
Mathematical equation Scattering amplitude of the outgoing wave
An(q) Amplitude of degree n from the Born series
α Exponent of power law for surface scattering, i.e. fractal dimension
β Exponent for the switching function Mathematical equation
d Domain spacing of a porous structure (microemulsion)
D Thickness of sample
Mathematical equation Microscopic cross section
Mathematical equation Macroscopic cross section, i.e. Mathematical equation normalized to the sample volume
Mathematical equation Phase function for the spherical colloid scattering
Mathematical equation Dirac delta distribution
Δ Laplace operator
Mathematical equation Scattering-length density difference between colloid and solvent
E Quantum-mechanical energy of the probe (neutron)
ε Switching function in the Beaucage scattering function for fractals
Mathematical equation Form factor of the bulk colloid or structure
Mathematical equation Form factor of the colloid surface or structure interface
Fn(j)(k) Specific scattering functions for first-order corrections
ϕ Polar angle
Mathematical equation Volume fraction of hydrogenous material in the sample
g Length parameter correction with r2 of the order 1
Mathematical equation Green's function for the scattering event
Mathematical equation Real-space correlation function
Mathematical equation Gamma function
Mathematical equation Planck constant
Hl(1)(x) Hankel function of the first kind
i Imaginary unit
I0 Forward scattering parameter
Mathematical equation Intensity at the critical scattering vector modulus Mathematical equation
Mathematical equation Indicator function of the colloid, i.e. 1 inside the colloid and 0 otherwise
Mathematical equation Indicator function averaged over the polar angle
Mathematical equation Imaginary part of the argument x
Jl(x) Bessel function
k Modulus of the wavevector of the incoming probe (neutron), i.e. Mathematical equation
k0 Modulus of the wavevector of the porous material structure, i.e. Mathematical equation
Mathematical equation Wavevector of the incoming probe
Mathematical equation Wavevector of the outgoing probe (final momentum)
K Final complex strength for coherent multiple scattering
Mathematical equation Strength of coherent multiple scattering (zeroth approximation)
Mathematical equation Strength of coherent multiple scattering (first approximation)
κ Strength of coherent multiple scattering (final approach)
l Index, angular quantum number
Mathematical equation Length distribution function for certain solid angle Mathematical equation inside the colloid
Mathematical equation Length distribution function
λ Probe (neutron) wavelength
m Neutron mass
n Index, usually connected to the order of the Born approximation
Mathematical equation Solid angle
p Wavevector inside the colloid according to the different potential V
p(r) Pair distribution function
Pl(x) Legendre polynomial of the argument x
π Circle constant
ψ Quantum-mechanical wavefunction (non-bound state)
Mathematical equation Switching function as a function of q between surface and classical Porod scattering
Mathematical equation Switching function between surface and classical first-order Born approximation
q Modulus of the scattering vector, i.e. Mathematical equation
Mathematical equation Modulus of the critical scattering vector between surface and classical Porod scattering
Mathematical equation Modulus of the maximum scattering vector used to cut the q range of a scattering curve
qmin Experimental minimum scattering vector modulus
Mathematical equation Scattering vector
r Distance, i.e. modulus of the spatial argument Mathematical equation or Mathematical equation
Mathematical equation Spatial variable inside the sample
Mathematical equation Spatial variable inside the sample with index n
Mathematical equation Minimum valid distance before divergence of Mathematical equation for Mathematical equation
R Radius of the spherical colloid
Mathematical equation Radius of gyration from the second moment of mass distribution of the respective structure
Mathematical equation Radius of gyration for the corrected scattering function
Mathematical equation Scattering-length density profile of the sample
Mathematical equation Dimensionless spatial variable, i.e. Mathematical equation
S Extracted term from term T
Sq(r) Scattering function (also for higher orders)
s(q) Structure factor for arrangement of several colloids
Mathematical equation Total scattering cross section
Mathematical equation Reciprocal mean free path length given by measured SANS curve
T Innermost integral of a higher-order scattering amplitude
θ Azimuthal angle
v Volume of the colloid or correlation volume of the bulk scattering
Mathematical equation Interaction potential between probe and sample
x Argument of a function (not to be confused with r, the modulus of Mathematical equation)
Mathematical equation Spatial variable inside the sample
Mathematical equation Correlation or typical length of the sample structure, first approximation
ξ Correlation or typical length of the sample structure
Mathematical equation Specific scattering functions for second-order corrections
Mathematical equation Spatial variable inside the sample
Mathematical equation Spatial variable inside the sample with index n
Z Dimensionless complex correlation length parameter
ζ Dimensionless reciprocal correlation length parameter

Introductory texts often overlook that equation (1[link]) is not an exact result of small-angle scattering. It is an approximation that holds in the limit of small contrast, as we discuss in detail in Section 3[link]. The exact scattering cross section for an incoming particle with energy E is obtained by solving the Schrödinger equation (Squires, 1996View full citation), which can be written as

Mathematical equation

Δ is here the Laplace operator, which accounts for the momentum contribution to the Hamiltonian, with m being the mass of the particle. The second contribution is the structure-dependent potential Mathematical equation which describes the interaction of the particle with the sample. In the case of neutrons, the interaction is usually with the nuclei via strong nuclear forces. Moreover, in the typical conditions of small-angle scattering, the neutron wavelength is generally much larger than inter­atomic distances, so the Fermi pseudopotential can be applied. In that case, the potential is proportional to the local scattering-length density, namely Mathematical equation (Squires, 1996View full citation).

If the energy E is larger than the potential, the incoming wave is not bound by the sample interaction. In this case, the solution of the Schrödinger equation takes the form of a scattered wave,

Mathematical equation

The first term describes the incoming wave with a momentum vector Mathematical equation, related to the energy via Mathematical equation. The second term is the scattered wave observed far away from the sample such that the near-field is neglected (equivalent to the Fraunhofer versus Fresnel condition in light scattering). It is implicit in equation (4[link]) that the scattering process is elastic, i.e. that there is no energy transfer between the neutron and the colloid. This is a consequence of the potential Mathematical equation being independent of time, which is an approximation because all samples are subject to thermal motion. The conditions for elastic scattering, however, are reasonably satisfied if the colloid is moving much slower than the neutron (Monkenbusch & Richter, 2007View full citation). With all these caveats in mind, the elastic scattering cross section is related to the scattering amplitude A via

Mathematical equation

where the angular dependence is on θ only in the case of isotropic samples.

The potential Mathematical equation can be as complicated as any realistic microstructure of material can be. Exact analytical expressions for the scattering amplitude are available only for very simple potentials. Classical examples include the Yukawa and Coulomb potentials (Tong, 2017View full citation; Cohen-Tannoudji et al., 1986View full citation; Chong, 2024View full citation), which are used in high-energy physics but are not directly relevant to small-angle scattering. Here, we consider scattering by a single spherical colloid with sharp interfaces. In other words, we assume Mathematical equation with the indicator function

Mathematical equation

Taking the boundary conditions for the quantum-mechanical waves into account (Cohen-Tannoudji et al., 1986View full citation; Chong, 2024View full citation), one can derive the following formula:

Mathematical equation

Here we used the Legendre polynomials Pl[x]. For the phases Mathematical equation we obtain the following expression:

Mathematical equation

Note that equation (8[link]) is expressed in terms of the commonly known Bessel function Jl(x) and the Hankel function of the first kind Hl(1)(x), while other normalizations are often used in the literature of quantum mechanics (Cohen-Tannoudji et al., 1986View full citation; Chong, 2024View full citation). For the phase Mathematical equation, the exact normalizations of Jl(x) and Hl(1)(x) do not play a role. We also included simplifications for the derivatives of both functions.

This way of dealing with multiple scattering has an alternative formulation given by Berk & Hardman-Rhyne (1986View full citation) using an integral form that was already developed as a Wentzel–Kramers–Brillouin approximaton by Weiss (1951View full citation). The magnitude p is the momentum inside the colloid, which is connected to the momentum k according to

Mathematical equation

This formula is also well known in reflectometry experiments (Gibaud, 1999View full citation). For differing momenta inside and outside the colloid, together with the continuity of the wavefields at the boundary, many formulations for multiple scattering become equivalent, be it for light (Mie, 1908View full citation; Olaofe, 1970View full citation) or acoustic waves (Faran, 1951View full citation). Apart from that, the contrast Mathematical equation needs to be replaced by Mathematical equation (Daicic et al., 1995View full citation) for light. However, at present, we do not want to comment any further on static light scattering results.

The formulae in equations (7[link])–(8[link]) result from the exact quantum-mechanical treatment, and they therefore include the coherent multiple scattering effects. The corresponding scattering cross sections are plotted in Fig. 1[link]. In order to facilitate the comparison with small-angle scattering, the latter are plotted not against the angle θ but against the momentum transfer Mathematical equation, where Mathematical equation is the final momentum, after scattering. The relation to the scattering angle is

Mathematical equation

which is classical in small-angle scattering.

[Figure 1]
Figure 1
Exact scattering cross sections of a sphere calculated from equation (7) normalized to contrast and volume with (a) Mathematical equation, R = 100 (Mathematical equation); (b) Mathematical equation, R = 5000 (Mathematical equation); (c) Mathematical equation, R = 100 (Mathematical equation) and (d) Mathematical equation, R = 5000 (Mathematical equation). In all cases k = 1. The red symbols are for Mathematical equation and the blue symbols for Mathematical equation. The solid black line is the form factor from equation (1), and the vertical black line is an estimation for the transition to bulk scattering which we discuss at a later stage (Mathematical equation). This transition is also supported by the work of Berk & Hardman-Rhyne (1986View full citation).

In order to synthetically analyze the various scattering regimes, Fig. 2[link] displays the forward scattering cross section, estimated from equation (7[link]) as Mathematical equation, and the total scattering cross section Mathematical equation. The latter quantity is an integral of Mathematical equation over all the directions on the unit sphere. Thanks to the optical theorem of scattering theory (Tong, 2017View full citation), however, it can be obtained from the imaginary part of the forward scattering amplitude A(0) as

Mathematical equation

In all generality, given the dimensions of the three physical parameters that control the scattering – k−1), Mathematical equation−2) and R (Å) – their effect is captured by just two dimensionless numbers, which in the figure were chosen to be Mathematical equation and kR.

[Figure 2]
Figure 2
Exact value of the forward (a) and total (b) scattering cross sections, as a function of the dimensionless parameter Mathematical equation and kR, and the same quantities as a function of Mathematical equation. The red symbols are for Mathematical equation and the blue symbols for Mathematical equation. The solid black lines in (c) and (d) are empirical fits.

Although two dimensionless parameters are, in principle, necessary to describe the scattering, it appears empirically from Fig. 2[link] that the main characteristics are captured by a single number. That number can be identified by noting that the occurrence of multiple scattering is necessarily controlled by the contrast Mathematical equation, and that its mathematical dependence in equation (8[link]) is exclusively through the combination pR. From equation (9[link]), the approximate relation is

Mathematical equation

for small contrasts. To the leading order, it therefore appears that the influence of parameters k, R and Mathematical equation is through their dimensionless combination

Mathematical equation

As shown in Figs. 2[link](c) and 2[link](d), the dimensionless number Mathematical equation indeed captures the main characteristics of the scattering by a spherical colloid. In the literature (Berk & Hardman-Rhyne, 1986View full citation), a similar parameter Mathematical equation has been discussed in the same context.

To sum up the findings from Fig. 2[link], the transition from single to coherent multiple scattering occurs at Mathematical equation in the case of a sphere. For lower Mathematical equation, the scattering is well described by the first-order Born approximation. In particular, the forward and total scattering both scale with the squared volume of the particle, and with the squared scattering contrast. For larger Mathematical equation, the total scattering cross section reaches the value Mathematical equation corresponding to the exact scattering cross section of a quantum-mechanical hard sphere (Tong, 2017View full citation; Chong, 2024View full citation). In that regime, the forward scattering is independent of the contrast and it scales with R4, i.e. with the squared area of the particle. The scattering pattern then describes the projected shadow of the colloid, i.e. a circular disc (Weiss, 1951View full citation).

3. Generalization to arbitrary structures

3.1. The Born series and first-order approximation

To discuss scattering in general terms, it is convenient to introduce the indicator function of the colloid phase Mathematical equation, which is equal to 1 if Mathematical equation is in the colloid and to 0 in the solvent [see equation (6[link])]. The space-dependent scattering-length density, in excess of the solvent, is then simply Mathematical equation, where Mathematical equation is the contrast between the solvent and colloid, as in equation (6[link]). With this notation, a formal solution of the Schrödinger equation in equation (3[link]) is provided by the following Lippmann–Schwinger equation (Squires, 1996View full citation):

Mathematical equation

where the first and second terms are the incoming and scattered waves, respectively, similar to equation (4[link]). In the integral, Green's function is

Mathematical equation

which arises from the outgoing solution of a point-like particle, i.e. solving Mathematical equation = Mathematical equation.

The Lippmann–Schwinger solution in equation (14[link]) is an integral equation, which does not provide an explicit solution of the wavefunction. One can, however, use it recursively to express the scattered wave as an infinite series, referred to as the Born series. In terms of the scattering amplitude, the solution takes the form

Mathematical equation

The first term in the series is obtained by approximating Mathematical equation in the integral of equation (14[link]) by the incoming wave itself Mathematical equation. This leads to

Mathematical equation

which corresponds to the first-order Born approximation.

The scattering cross section in the first-order Born approximation is then obtained through equation (5[link]) as Mathematical equation. The form factor in equation (1[link]) is the Fourier transform of this specific function. This is mathematically equal to Mathematical equation times the Fourier transform of the correlation function,

Mathematical equation

where the normalization by the volume of the colloid v ensures that Mathematical equation. Note that Mathematical equation can be understood as the average value of Mathematical equation when Mathematical equation is uniformly distributed on the colloid. In the particular case of a sphere, the correlation function is

Mathematical equation

for Mathematical equation and Mathematical equation for larger distances.

The first-order Born approximation, however, ignores coherent multiple scattering effects. In general, the scattering amplitude contains an infinite series of terms, each of which accounts for a specific number of interfering scattering events. The term of order n takes the form

Mathematical equation

with Mathematical equation or the corresponding vectorial dependence. This is interpreted as resulting from n successive scatterings at points Mathematical equation to Mathematical equation, which interfere coherently to form the amplitude Mathematical equation. It is the latter terms that are responsible for the deviations in Fig. 1[link] between the exact quantum-mechanical scattering cross section and the classical small-angle scattering expression from equation (1[link]). The interpretation of equation (20[link]) in terms of n successive scattering events justifies referring to higher-order Born corrections as coherent multiple scattering.

3.2. The second-order Born approximation and surface scattering

To investigate the structural significance of the higher-order terms in the Born series, we consider here the second-order term Mathematical equation, which is obtained from equation (20[link]) for n = 2. Before considering its angular dependence, it is instructive to consider first the forward scattering, corresponding to q = 0. Without any assumption, the latter can be expressed as follows:

Mathematical equation

as a function of the correlation function Mathematical equation defined in equation (18[link]). The values corresponding to a spherical particle with Mathematical equation given in equation (19[link]) are plotted in Fig. 3[link](a).

[Figure 3]
Figure 3
Second-order term of the Born expansion A2(q) for a sphere, expressed in units of Mathematical equation. (a) Forward scattering amplitude A2(0) as a function of kR. The dots are the exact values (modulus and phase), and the solid lines are equation (29) with Mathematical equation. The q-dependent amplitudes are plotted in (b1) for Mathematical equation and (b2) for Mathematical equation (real and imaginary parts). The dots are the exact values, calculated by evaluating numerically equation (22), and the solid lines are from equation (29).

To investigate the q dependence of Mathematical equation, it is convenient to write it as

Mathematical equation

which results from equation (20[link]) with n = 2, moving the Fourier integral with the highest frequency to the outermost position. In the case of small-angle scattering Mathematical equation and Mathematical equation. When writing the second-order term as in equation (22[link]) the value of the high-k Fourier transform is determined by the small-r behavior of the innermost integral, i.e. by the structure of the surface.

The central approximation in our analysis in this Section 3.2[link] consists of assuming that the innermost integral in equation (22[link]) is isotropic in Mathematical equation. Under this isotropy assumption, we replace the integral by its rotational average,

Mathematical equation

where Mathematical equation is a unit vector and its integral is over the unit sphere. Because Sq(r) is a radial function of r, we can also replace the integrand of the outermost integral in equation (22[link]) by its rotational average, namely

Mathematical equation

Note how the rotational average makes the distinction between Mathematical equation and Mathematical equation irrelevant because Mathematical equation for elastic scattering. With these assumptions, the second-order Born term can be written as

Mathematical equation

where both terms have a simple interpretation.

According to the definition of Sq(r) in equation (23[link]), the first integral in the square brackets of equation (25[link]) can be written as

Mathematical equation

where Mathematical equation is a length, the meaning of which is illustrated in Fig. 4[link] (see also Appendix A[link]). Starting from any point Mathematical equation in the colloid, radii are drawn in the direction Mathematical equation, and their average length is calculated over all directions of Mathematical equation. The as-defined length is space dependent, but if the dependence is weak it can be factored out from the Fourier transform and replaced by its average value Mathematical equation, calculated over all starting points Mathematical equation in the colloid. In other words, the first term in the square brackets of equation (25[link]) can be approximated as Mathematical equation.

[Figure 4]
Figure 4
Definition of the characteristic length Mathematical equation of a colloid (in white), as the average length of all radii, over all directions Mathematical equation and over all possible starting points Mathematical equation in the structure. Note that the radii may consist of several disconnected segments.

To evaluate the second term in equation (25[link]), we first note that in typical small-angle scattering experiments the wavelength is much shorter than the size of the colloid, so that a high-frequency approximation applies. Integrating by parts, the second integral in equation (25[link]) can be written as

Mathematical equation

where the prime denotes a derivative with respect to r and the dots terms at higher reciprocal powers of k. From the definition of Sq(r) in equation (23[link]), the dominant term is Mathematical equation because the indicator function takes values 0 or 1, so that Mathematical equation. Interestingly, the derivative Mathematical equation is proportional to the surface scattering Mathematical equation, as we now explain.

The function Sq(r) has a simple interpretation when r is much smaller than the size of the colloid, as relevant for equation (27[link]) where the terms are evaluated in the limit of Mathematical equation. The average of Mathematical equation in equation (23[link]) is equivalent to replacing the second indicator function Mathematical equation by its average value evaluated over a tiny sphere with radius r centered on Mathematical equation, say Mathematical equation (see Appendix B[link]). This operation leaves the indicator function unchanged for all points at a distance larger than r from any interface. For all points closer than r from the surface, it replaces the sharp transition by a linear profile [see Fig. 5[link](b)]. From equation (23[link]), Sq(r) is the scattering that would result from the original colloid [Fig. 5[link](a)], from which a given r-dependent measure is subtracted uniformly from all over its surface [Fig. 5[link](d)]. In other words, for infinitesimally small values of r, one has

Mathematical equation

where Mathematical equation is the surface scattering amplitude, normalized in such a way that a is the surface area, Mathematical equation, and the specific factor r/4 results from the integral of the linear profile sketched in Fig. 5[link](d).

[Figure 5]
Figure 5
Geometrical interpretation of Sq(r) in equation (23) for small radii r, and origin of the surface scattering: (a) indicator function of the colloid Mathematical equation; (b) its convolution with a small sphere Mathematical equation; (c) product Mathematical equation; (d) difference between (a) and (c). The latter case describes the surface scattering that we explicitly find in equation (28).

Evaluating the derivative of Sq(r) with respect to r, one finally gets the following general approximation for the second-order Born terms:

Mathematical equation

To check the validity of this approximate relation, it is compared in Fig. 3[link] with the direct numerical evaluation of equation (22[link]) in the case of a spherical colloid. In that case, the bulk scattering is given by equation (2[link]) and the surface scattering is

Mathematical equation

Moreover, we show in Appendix A[link] that the characteristic length is Mathematical equation (Mathematical equation) in the case of a sphere. The forward scattering, calculated from equation (29[link]) for q = 0, is plotted as solid lines in Fig. 3[link]. Deviations are observed from the exact values in the low-kR range, but this is irrelevant for most small-angle scattering experiments. The q dependence of A2(q) is also reasonably captured in the high-kR limit [see Figs. 3[link](b1) and 3[link](b2)]. Higher-order terms of the amplitudes An(q) are discussed in Appendix C[link].

3.3. Empirical expression based on heuristic arguments

We do not attempt here to pursue the same type of analysis of the higher-order terms in the Born series as we did with the second-order term. Instead, we build on the qualitative understanding obtained so far, as well as on scaling arguments, to propose an empirical expression for scattering beyond the first-order Born approximation. We test that empirical expression against the exact quantum-mechanical solution for the sphere scattering.

To understand the general scaling of the nth-order Born amplitude with colloid size and k, the expression of An(q) from equation (20[link]) is conveniently rewritten as

Mathematical equation

which results from reorganizing the order of the integrations. The innermost integral in equation (31[link]) is of the type

Mathematical equation

for which a few approximations can be made. First, one can note that the variable Mathematical equation is eventually integrated many times, so that one is only interested in an average value of T. Furthermore, we take the average over the polar angle into account, i.e. Mathematical equation with the z axis along the incoming beam, i.e. parallel to Mathematical equation. For the remaining azimuthal angle we still keep the integration.

At this point we change the argumentation and go back to the integration over the space of Mathematical equation and assign to it the typical length scale ξ. For the moment we keep the value of ξ undetermined. So one gets

Mathematical equation

The idea behind this is that the limits of Mathematical equation are finite, but in the limit of large Mathematical equation one comes close to the Mathematical equation distribution. More details about the partial integration are given in Appendix D[link]. The essence of this calculation is now that we replace the derivative of Mathematical equation by the average correlation function. That is plausible because we consider the whole space of Mathematical equation. This in turn defines our preferred length scale via Mathematical equation. Because of the general relation between the slope of Mathematical equation at the origin and the surface area, the length scale is simply related to the colloid volume-to-area ratio as Mathematical equation (Debye et al., 1957View full citation). In the case of spheres we get Mathematical equation. Below we will consider the different results for ξ and we define Mathematical equation. However, we obtain

Mathematical equation

Combining the results of this section with those of Section 3.2[link], the overall scaling of the nth-order scattering amplitude is

Mathematical equation

now with the new κ. With this specific dependence on n, the full Born expression for the forward scattering in equation (16[link]) is a geometric series that can be easily evaluated as

Mathematical equation

with Mathematical equation.

When compared with the exact result for the sphere scattering, the analytical expression in equation (36[link]) has some expected qualitative characteristics. In the limit of small κ, it coincides with the first Born approximation, as it should. In the limit of strong coherent multiple scattering, i.e. for Mathematical equation, it predicts pure surface scattering, as also anticipated.

The final value for the leading term of the scattering cross section is

Mathematical equation

where the dimensionless number Mathematical equation with Mathematical equation generalizes the quantity Mathematical equation introduced when discussing the scattering by a sphere (see also Fig. 2[link]). From the denominator Mathematical equation, the extreme case of quantum scattering results in intransparent particles with little scattering. We discuss higher-order corrections of this equation in Appendix C[link].

We see that the Born series [equation (37[link])] correctly describes the forward scattering of a colloid including coherent multiple scattering effects. The related dominant dependence is Mathematical equation which was derived for small Mathematical equation in the sense of a Taylor expansion. However, one can extend the functional dependence to Mathematical equation in the sense of an analytic continuation, as we see in Fig. 6[link]. The Born series [equation (36[link])] also describes correctly that for large Mathematical equation the surface scattering (as shown in Fig. 5[link]) replaces the bulk scattering, however with a leading prefactor ζ which in our small-angle scattering approach is a small number because the correlation length ξ is assumed to be much bigger than the probe wavelength. The substitution of surface scattering for bulk scattering also becomes clear in the exact calculation of Fig. 1[link]. From the known dependence of the forward scattering, the surface scattering must also carry the same amplitude Mathematical equation at larger Mathematical equation where the Born series in our approach is no longer valid. Currently, we cannot tell if our approximations are too crude or the full Born series in general is not capable of describing the transition to surface scattering correctly. Apart from the surface scattering at low q, we also see from Fig. 1[link] that the scattering profile transitions to the classical bulk scattering at Mathematical equation, which in dimensionless units is also related to κ according to Mathematical equation. This can be interpreted as follows: on small length scales (Mathematical equation), far below the correlation length ξ, the physics of the scattering process is no longer related to coherent scattering effects; this is simply the classical scattering problem of Porod scattering. This transition has already been described (Berk & Hardman-Rhyne, 1986View full citation). In some sense this corresponds to a loss of coherence when the scattering vector is only just large enough [we might assume that here ξ takes the value Mathematical equation and apply this to equation (36[link])]. From the considerations summarized above, we now propose the following heuristic equation for the macroscopic cross section to describe the small-angle scattering profile including coherent multiple scattering for all Mathematical equation:

Mathematical equation

We discuss the macroscopic cross section here, which is the microscopic cross section [equation (5[link])] normalized to the sample volume. We now include the ideal form factors for a full sphere Mathematical equation and the sphere surface Mathematical equation and switch between them in different cases. The first switching function Mathematical equation switches between coherent single scattering for small Mathematical equation and coherent multiple scattering for large Mathematical equation. The switching within a scattering pattern from surface to bulk scattering is expressed by Mathematical equation Mathematical equation with a characteristic scattering vector modulus Mathematical equation = Mathematical equation = Mathematical equation = Mathematical equation. It is determined from the crossing of the unscaled surface form factor Mathematical equation and the Mathematical equation scaled bulk form factor Mathematical equation. The scaling of the latter term was motivated by the argument that when the scattering vector q `observes' the smallest structures, i.e. the surface only in terms of Porod scattering, the observation is not dependent on coherent multiple scattering effects anymore. For the exact crossing at Mathematical equation, the high-q power law with smeared-out oscillations was taken into account only. As we will see later, the exponent β = 3.0 proved to be a useful choice. The structure factor s(q) comes into play when the colloids are more concentrated such that interactions between them occur. One famous example is the Percus–Yevick structure factor (Ye et al., 1996View full citation).

[Figure 6]
Figure 6
The normalized forward scattering for a spherical colloid as a function of the dimensionless parameter Mathematical equation. The forward scattering is normalized by the contrast and colloid volume such that it is unity in the case of no multiple scattering. The conditions are indicated in the legend (parameters are color coded). The wiggly lines present the exact calculations. The red lines represent the simplified approximation Mathematical equation.

In principle, the scattering functions Mathematical equation and Mathematical equation can refer to other arbitrary structures. One approach using Gaussian random fields (Gommes et al., 2021View full citation) is capable of deriving expressions that can be applied to real systems. Some analytic expressions for random media with more complex formulae are derived in Appendix E[link]. The validity for different structures remains to be proved, either experimentally or theoretically.

For SANS and SAXS we know that the contrast Mathematical equation 10−5 to 10−6 Å−2 takes rather low values and dominates the momentum difference Mathematical equation. For a typical colloid size we talk about values of Mathematical equation to 105 Å (1 nm to 10 µm), typical for small-angle scattering (SAS), from VSAS to USAS. The latter might even involve larger sizes. For the momentum we talk about values of Mathematical equation 1 to 10 Å−1. This implies that the term Mathematical equation can be well below unity (for SAS) and reaches a few tens in the case of USAS experiments. For SANS and SAXS, the critical Mathematical equation Å−1 is in a rather well defined range that is typical for VSAS and USAS.

The first magnitude we want to discuss is the forward scattering, i.e. Mathematical equation [equation (5[link])], which we normalize to the single scattering expectation Mathematical equation as in Fig. 1[link]. We have displayed examples of the exact calculation [equations (7[link])–(8[link])] compared with the approximation [with the leading term Mathematical equation which also reflects the simplistic approach of equation (37[link])] in Fig. 6[link]. The exact calculations are given by the blue, yellow and black lines. We see that the simple formula describes well the limits of single scattering Mathematical equation and the heavy multiple scattering Mathematical equation. Furthermore, we can confirm that the final expression for the correlation length Mathematical equation is the correct one. In the intermediate Mathematical equation range there are deviations as follows. For the stronger contrast Mathematical equation there occur two kinds of oscillations: one sharper kind of higher frequency which indicates strong resonances, and a broader kind of lower frequency which is connected to weaker resonances. The latter is maintained for the lower contrast of Mathematical equation [calculations using Maple (https://www.maplesoft.com/) with Mathematical equation yield the same results but take an extremely long time], independent of the sign. We can state that the approximation works well after the first low-frequency oscillation (i.e. Mathematical equation) in the case of low contrasts. For this situation we expect that the surface scattering is dominant and then fully replaces the bulk scattering. Resonances may be considerable in the range Mathematical equation where the mixing of bulk and surface scattering may occur. However, we will also discuss this issue in more detail below and argue that the simple approach is valid in most practical cases for real samples.

We now discuss scattering patterns at different conditions (given by Mathematical equation) as displayed in Fig. 7[link]. In all cases, the thicker gray curve represents the exact calculation and the thin line the simplified approximation of equation (38[link]). High-frequency oscillations at larger q are omitted for the simplified calculations, for ease of visualization. We considered a range of Mathematical equation via 1 and 3 to 10. We replaced Mathematical equation with Mathematical equation in the square brackets of equation (38[link]) in order to represent the high-q end of all curves better. For all curves the parameters of Mathematical equation, R and k are indicated. Also, the transition Mathematical equation is indicated on all plots. Generally, the agreement between the approximation and the exact calculation is quite good. The high-q end is captured very well, and at smaller q there are deviations. For smaller κ the crude approximation underestimates the full theory, and the opposite is true at larger κ. The general slopes of the curves in this double logarithmic scale, when neglecting the oscillations and their possible change at Mathematical equation, are captured quite well. The positions and amplitudes of the first fringes are captured reasonably well, but clear differences are visible and are an expression of the resonances that complicate the exact theory versus the simple approximation.

[Figure 7]
Figure 7
The scattering profiles for a spherical colloid under different conditions (ad) as indicated in the legend [the natural units for Mathematical equation−2), R (Å) and k−1) are used – for faster calculations the contrast Mathematical equation was chosen, which produces similar results to the more realistic value of Mathematical equation – the main variation is the parameter Mathematical equation = 0.2, 1, 3 and 10 for (ad) and Mathematical equation]. The intensity is normalized to unity for no multiple scattering – the same as in Fig. 1[link]. The x axis is normalized to dimensionless units qR. The gray lines represent the exact calculations. The solid lines represent the simplified approximations presented in this article [equation (38)]. For higher q the heavy oscillations are neglected and exchanged by the average trend. The dimensionless critical scattering vector Mathematical equation is also indicated.

When considering real samples at rather large scales (>1 µm), there are usually wide distributions of sizes that smear out all oscillations of the scattering patterns, and so only power-law behaviors remain observable in the experiment. This averaging would also smear out the under- and overestimations of the different conditions expressed by the parameter Mathematical equation. Thus, we believe that for a simple power-law scattering pattern a simple change of slopes would occur in the experiment, as described by

Mathematical equation

The exponent Mathematical equation describes the surface scattering and is connected to mass fractals (the term mass is not to be confused with bulk – it expresses the real dimensionality of the surface in the 3D space). The following exponent Mathematical equation is then the corresponding structure under bulk contrast and is connected to surface fractals. The pair of exponents for Mathematical equation is already well described in the theory of Porod (Glatter & Kratky, 1982View full citation; Roe, 2000View full citation) for smooth surfaces of compact objects. Generally, the range for the exponent is Mathematical equation and seems to be a sharp boundary for all possible fractal structures (Martin, 1986View full citation; Kjems et al., 1986View full citation). As before, we keep the description of the switching function Mathematical equation. For many hierarchical structures with smeared-out fringes, the expressions derived by Beaucage (1996View full citation) give a good model function to describe small-angle data. Thus, the simple power-law expression of equation (39[link]) can be expanded to

Mathematical equation

Here, the parameter I0 describes the forward scattering that is connected to the Guinier scattering, and the second amplitude Mathematical equation = Mathematical equation is tightly related to the remaining parameters [Mathematical equation is the gamma function]. The overall size Mathematical equation describes the appearance of the scattering surface. The second switching function is connected to Mathematical equation. The exponent in the first switching function Mathematical equation is best selected by the formula Mathematical equation or a bigger value.

4. Discussion

Here, real experiments are discussed in the context of the above-mentioned formulae. A practical example was obtained by the USANS scattering of simple paper, as displayed in Fig. 8[link] (Ji et al., 2022View full citation). The original slit desmeared data are indicated and compared with the incoherent multiple scattering corrected data. The latter data were described by the simpler formula of equation (39[link]). The critical Mathematical equation is found to be Mathematical equation Å−1, i.e. larger than the theoretical value. However, the spread of the two power laws of Mathematical equation and Mathematical equation with the exponents being close to 3 is smaller, and so the crossover may be shifted to a slightly larger Mathematical equation. Thus, we believe that Mathematical equation may be shifted by factors of the order 2–3 in comparison with the exact theoretical value, but this remains to be verified experimentally.

[Figure 8]
Figure 8
The USANS profile of a single sheet of paper (macroscopic cross section as a function of the scattering vector) from Ji et al. (2022View full citation). The squares indicate the original measurement that was slit desmeared. The incoherent multiple scattering deconvoluted data are indicated by the triangles. To this, the simple power-law behavior with a crossover [equation (39)] is fitted (red line, slopes are indicated). The critial scattering vector modulus Mathematical equation is indicated by the arrow. All error bars are plotted within the symbols.

Examples in the literature may support the findings we have discussed here. For polysulfone membranes, experiments using USANS and SANS (Siddique et al., 2022View full citation) display a crossover between a mass and surface fractal at Mathematical equation 2–3 × 10−4 Å−1 which was not described any further. One other example is the already discussed scattering from paper, and the scattering of shales has been presented (Ji et al., 2022View full citation). Also for silica particles with polymers in solution (Schmitt et al., 2016View full citation), USAXS experiments display a crossover between mass and surface fractal behavior at Mathematical equation 5 × 10−4 Å−1 for different silica morphologies. However, different morphologies are identified using supporting scanning electron microscopy micrographs. Thus, in the latter case, in part the different slopes could be directly interpreted in terms of the real-space structures and Mathematical equation seems to be related to a real structural size. Another USAXS study found a rather low q ∼ 10−4 Å−1 (Munoz et al., 2023View full citation) where the slopes still indicate surface fractals at lowest q. Here, the coherence might be insufficient if the underlying observed structures of size ξ are much bigger (Mathematical equation). In that case, opposing surfaces from the object are not interfering in the experimental observations. A detailed analysis for the different cases is required.

Another example deals with a protein aggregate of bovine serum albumin (BSA) with considerable amounts of trivalent yttrium cations in D2O [Fig. 9[link](a)] (Soraruf et al., 2014View full citation; Beck et al., 2021View full citation). First, the incoherent multiple scattering is removed from the original data (blue). Then, we can see the scattering curve from the protein at this stage (black). As such, this curve does not look unusual, but when performing a real-space reconstruction using DENFERT (Koutsioubas & Pérez, 2013View full citation; Koutsioubas et al., 2016View full citation) the structure looks slightly elongated and not isotropic anymore. From the pure uncontrolled aggregation, one would expect isotropic globular aggregates. Thus, fitting the low-Q part (Q < 0.0005 Å−1) with the modified Beaucage model [equation (40[link])] and then assuming that the high-Q exponent Mathematical equation is also valid for a simple Beaucage function extending to the low-Q part with Mathematical equation = Mathematical equation yields two functions to be solved for Mathematical equation. The ratio of those two model functions was applied to the real measured data, and we obtained a corrected scattering curve (red line). From this curve, we obtained a rather isotropic, globular real-space reconstruction.

[Figure 9]
Figure 9
(a) The SANS curve of a BSA aggregate with considerable trivalent Y cations (200 mg ml−1 BSA and 30 mmol l−1 YCl3 at 35°C). The original measurement (blue) with incoherent scattering removed is displayed as black triangles and the corrected one as a red solid line. In the inset, the corresponding real-space correlation functions p(r) are shown. The real-space reconstructions are also added on the top right. (b) The logarithm of the real-space correlation function Mathematical equation for the BSA protein aggregate before and after the correction (black and red lines, respectively). Another example from a cruciferin complex (trimers at the oil droplet interfaces of an emulsion) is also shown, where the low-Q upturn is due to a high-Q cutoff of the scattering data. Here, the line indicates the correct extrapolation to Mathematical equation.

As the real-space reconstruction goes hand in hand with obtaining the real-space correlation funtion p(r) using an indirect Fourier transform algorithm (Hansen, 2000View full citation), we discuss that here as well. The original data of p(r) for the protein aggregates are displayed in Fig. 9[link](a), and the related real-space correlation function Mathematical equation is displayed in Fig. 9[link](b). For our example, the curves look rather smooth, and one could extract the related correlation length Mathematical equation from it. In the logarithmic representation the calibration of p(r) does not matter. However, when applying this method to the complex of cruciferin (trimers at the oil droplet interfaces of an emulsion) (Holderer et al., 2025View full citation), we see that the low-r part diverges for Mathematical equation. A solid red line indicates the considered low-Q extrapolation. The divergence is due to the high-Q cutoff in the original scattering data (Mathematical equation). In our case, the positive background level causes the upturn at low Q, while an overestimated background subtraction would cause a downturn. The example shows that, if precise values for the correlation length ξ are needed, the inverse Fourier transform can provide the desired data.

For incoherent multiple scattering where the different scattering events happen independently in the sample, the criterion Mathematical equation must be fulfilled. This can be calculated from an integration of the scattering pattern, i.e.

Mathematical equation

Here, we assume that the constant incoherent background was subtracted from the SANS scattering pattern. When comparing this with the criterion for coherent multiple scattering, i.e. Mathematical equation, one observes the following: the case of incoherent multiple scattering appears earlier and is much more likely as long as the sample thickness D is larger than the structural size (i.e. D/R or Mathematical equation). For SANS experiments this is always reasonably fulfilled, and only for surface-sensitive experiments might one observe coherent multiple scattering first (Shen & Maradudin, 1980View full citation). We refer to the magnitude Mathematical equation as the mean free path length.

5. Conclusions

We distinguish between incoherent and coherent multiple scattering based on either uncorrelated or interfering scattering events in the sample. Usually, the incoherent multiple scattering sets in first when the sample thickness is larger than structural sizes of length ξ and the mean free path length Mathematical equation. Here, the structural information is superimposed independently and this is not the focus of the current article. This effect is not to be confused with the incoherent scattering from hydrogen atoms which may or may not be a different multiple scattering effect. The coherent multiple scattering has a critical scattering vector Mathematical equation Å−1 which is connected to the contrast Mathematical equation and the wavelength λ of the probe. Slight deviations of the order 2–3 of this estimation are possible. Thus, coherent multiple scattering is an issue for VSAS and USAS.

The change from incoherent to coherent multiple scattering that we describe in this article is a transitional stage mostly found for relatively weak contrasts and large structures. The ultimate stage of multiple scattering is the quantum scattering that is achieved for even larger κ and then describes the projected shadow of the structure. Thus our intermediate stage of surface scattering is an approximate description that we shed light on using a more theoretical approach, but also by discussing real SANS experiments where the mechanism can be clearly demonstrated. Thus, a rigorous treatment of our statements remains a topic for future work. As one can see in Fig. 7[link] there is under- and overestimation of the perfect surface scattering. This already demonstrates the transitional validity of our approach. Practically, this means that observations at much smaller q values may finally reveal the full quantum scattering.

For our transition from incoherent to coherent multiple scattering we further find that, as most structures of the large sizes considered here are usually polydisperse, only power laws without fringes will be observed in this range. We predict that the typical slopes below Mathematical equation indicate mass fractals with an exponent Mathematical equation. This is due to the surface scattering typical for coherent multiple scattering in this region. Above Mathematical equation the fractal exponent transitions to Mathematical equation, which then is the Porod scattering of the same structure. A simple formula for this effect is given by a modified Beaucage expression [equation (40[link])]. When new neutron instruments are developed for even smaller q (Magerl et al., 2024View full citation), coherent multiple scattering is even more important. Only for extremely large structural sizes, i.e. Mathematical equation given by the smallest resolved scattering vector, does coherent multiple scattering not develop and so larger slopes Mathematical equation may be visible at the smallest q (Hentschel et al., 1987View full citation) (or quantum scattering may be observed).

The recommended order of corrections to a USANS (USAXS) experiment is (1) slit desmearing and (2) desmearing of incoherent multiple scattering. After that, a stitched scattering curve including classical SANS data with many orders of length scales will display single scattering for Mathematical equation (Mathematical equation) which can be interpreted as usual. At slightly higher Mathematical equation (Mathematical equation), the coherent multiple scattering with the characteristic surface scattering must be taken into account. Here, the curves may be directly interpreted via equation (40[link]) (as we did for paper scattering) or may be corrected by the ratio of equation (40[link]) and an ideal Beaucage fit, as we demonstrated for the protein aggregates. At much smaller Mathematical equation (Mathematical equation), either quantum scattering may be present (with the typical shading effect) or the loss of coherence (Mathematical equation) may lead to classical Porod scattering. The distinction in the latter case may be obsolete and is a topic for future work.

APPENDIX A

Characteristic length ξ1

The dominant term in the definition of the characteristic length Mathematical equation is the 1D integral of the correlation function, assumed to be isotropic. This definition can be generalized to non-isotropic structures as

Mathematical equation

which is equivalent to evaluating the rotational average of Mathematical equation, before evaluating the 1D integral.

To understand the geometrical significance of Mathematical equation, note that equation (42[link]) is equivalent to the following three-step calculation. First, for any given point Mathematical equation in the colloid [Mathematical equation is the indicator function] and direction Mathematical equation, the following length is defined:

Mathematical equation

as illustrated by the individual radii in Fig. 4[link]. The position-dependent length Mathematical equation is defined by averaging Mathematical equation over all directions, namely

Mathematical equation

Finally, the characteristic length Mathematical equation is obtained as the average of Mathematical equation, that is

Mathematical equation

Practically, the integral only extends over the colloid volume due to the product with Mathematical equation. These equations result from expressing the integral operation in equation (42[link]) in spherical coordinates, and using the general definition of the correlation function in equation (18[link]).

In the particular case of a spherical colloid with radius R and centered on Mathematical equation, the length Mathematical equation is

Mathematical equation

where θ is the angle between Mathematical equation and the direction from the origin to Mathematical equation. Averaging over the unit sphere then provides the relation

Mathematical equation

which takes the value R in the center of the sphere Mathematical equation and R/2 on its surface Mathematical equation. The average value, calculated as

Mathematical equation

then provides the value Mathematical equation and Mathematical equation.

APPENDIX B

The indicator function of the surface

To evaluate the derivative of Sq(r) with respect to r, in the limit of Mathematical equation, consider first the quantity

Mathematical equation

for values of r much smaller than any characteristic size of the scattering material. This function replaces the indicator function Mathematical equation by its average value calculated over a small sphere with radius r centered on Mathematical equation. This operation leaves the indicator function unchanged for all points at a distance larger than r from any interface. For points closer than r from the interface, it replaces the sharp 0/1 transition by the following smooth profile:

Mathematical equation

where the distance z to the interface is counted negatively into the colloid and positively into the solvent. On the basis of equation (23[link]), Sq(r) is the scattering that would result from the original sample, from which a measure r/4 (per unit area) is subtracted all over its surface. The latter value is the integral of Mathematical equation in the negative z.

APPENDIX C

The higher-order amplitudes

The higher-order amplitudes can be approximated in a similar fashion as in equations (22[link])–(25[link]). Thus, the general term is approximated as

Mathematical equation

Here,

Mathematical equation

where the average over all the Mathematical equation orientations Mathematical equation is implicit. The approximation in equation (51[link]) results from assuming structural isotropy, so that each 3D integral over say Mathematical equation is replaced by a 1D integral over the modulus rj of the rotationally averaged integrand. From the appearance of equation (52[link]) we can see that it scales with a typical length Mathematical equation, and finally the amplitude [equation (51[link])] scales with Mathematical equation. So, the amplitude decays fast for smaller Mathematical equation and requires substantial corrections for large Mathematical equation.

C1. Zeroth-order term

To the zeroth order, the dominant term in equation (51[link]) is

Mathematical equation

Calculating the integral of equation (52[link]) over Mathematical equation provides

Mathematical equation

where Mathematical equation is defined in equation (44[link]), and the second equality results from approximating Mathematical equation in the integral by its average value over all Mathematical equation in the colloid Mathematical equation.

Repeating the same approximation on all successive integrals yields

Mathematical equation

C2. First-order correction

The first-order corrections are

Mathematical equation

where

Mathematical equation

is the Fourier transform of Mathematical equation over the jth variable, integrated over all other variables. Integrating by parts the Fourier integral on rj provides the following high-k approximation:

Mathematical equation

In this equation, all the unspecified variables ri for Mathematical equation are integrated from zero to infinity, and Mathematical equation is the derivative of Sq with respect to variable rj. At this stage, we need to evaluate Mathematical equation for infinitely small values of rj, so that we can calculate Mathematical equation and Mathematical equation. All the dots are integrals.

When evaluating Mathematical equation, the integrals on the right side of rj, i.e. all ri with Mathematical equation, can be approximated in the same way as in equation (54[link]). This leads to

Mathematical equation

As a particular case

Mathematical equation

where the second equality results from equation (28[link]).

To understand how the integrals on the left of rj have to be handled, i.e. of ri with Mathematical equation, consider first

Mathematical equation

where Mathematical equation has the same meaning as in equation (49[link]). Note that we only need the behavior for small r2. In that limit, the innermost integral is

Mathematical equation

Note that the left-hand side is identical to the definition of Mathematical equation in equation (44[link]), only with a smooth transition over a thickness proportional to r2. This is equivalent to removing some weight in the integral close to the interface. The constant g can be calculated along the same lines as in equation (50[link]) and is approximately Mathematical equation. Note, however, that in the case of a non-convex particle, the line in direction Mathematical equation crosses the interface several times. And each crossing contributes to g by the same amount. We will come back to this later, and we write now

Mathematical equation

To generalize this, consider

Mathematical equation

where the innermost integral is

Mathematical equation

When factoring it out of the integral, this yields a factor Mathematical equation. All the other Mathematical equation integrals yield a factor Mathematical equation. The final result is

Mathematical equation

Putting it all together, the result is

Mathematical equation

for any Mathematical equation. And for j = 1, the result is in equation (60[link]).

The final result is

Mathematical equation

C3. Second-order correction

To be consistent, if we want to keep the surface term in An(1)(q), we need to keep all terms of order (1/k)n+1 in An(q). This demands that we also consider some of the contributions to A(2)n(q).

The second-order corrections are

Mathematical equation

where

Mathematical equation

is the Fourier transform of Mathematical equation over the ith and jth variables and integrated over all other variables.

We can deliberately ignore terms smaller than 1/k2, so we need only consider

Mathematical equation

because the contributions proportional to the derivative of Sq bring an additional factor 1/k,

Mathematical equation

C4. The sum of all amplitudes

We can now sum all higher-order amplitudes. However, before that we introduce the abbreviations:

Mathematical equation

and

Mathematical equation

We note that Mathematical equation around equation (36[link]). Thus, the higher-order amplitude An(q) to the second order can be abbreviated to

Mathematical equation

Note that this is identical to equation (29[link]) for n = 2. For the geometric series with modifications, we can now conclude: useful sums, for any K (in principle with Mathematical equation)

Mathematical equation

Mathematical equation

Mathematical equation

Mathematical equation

The complete scattering amplitude, summing all the terms, takes the form

Mathematical equation

Note that K is proportional to Mathematical equation, and it is large when one enters deeply in the quantum-mechanical regime. In the limit of infinitely large K, the scattering amplitude is

Mathematical equation

In contrast, small K refers to small corrections of the simple Born approximation. This means for Mathematical equation we are left with only one term, namely the simple bulk scattering.

APPENDIX D

More details about the integral of T

The expression T results from the innermost integral of equation (31[link]) of the higher-order scattering amplitude An(q). In this sense it is a rescaled indicator function Mathematical equation or Mathematical equation that then gives a typical size ξ. The first step is the partial integration over the variable Mathematical equation in equation (33[link]). One defines the subterm S according to

Mathematical equation

The first line (83) refers to the integrated term and the second line (84) includes the derivative of Mathematical equation which is expanded with respect to the argument Mathematical equation. In the last line (85), we distinguish the cases for small s and finite s. In the first case, the differential quotient for the z component arises from (83): similarly for (84), where only even terms in Mathematical equation occur. The Mathematical equation term introduces higher orders of s and random phases that can all be neglected. Finally, all terms for finite s produce random phases that we can safely neglect (Mathematical equation large) within the approximation. This means practically that all resonances are omitted.

APPENDIX E

Scattering functions of random media

For many random structures the scattering function developed by Teubner & Strey (1987View full citation) applies quite well. Initially, this was developed for microemulsions and the arguments are based on a functional for the thermodynamic free energy. However, it was found that the scattering functions also work quite well for porous media (Dahl et al., 2024View full citation), possibly because in the production of the material similar arguments hold. Finally, spinodal decomposition at late stages (Cahn, 1965View full citation; Ban et al., 2023View full citation; Skripov & Skripov, 1979View full citation) produces structures related to a peak in the scattering function and a Porod behavior for large q. The well known formula for the scattering profile (Endo et al., 2001View full citation) is

Mathematical equation

Note that Mathematical equation is connected to the fraction of hydrogenous material for neutron scattering, i.e. usually to the fraction of one bulk material (oil or water) plus the surfactant. The scattering function is tightly connected to the real-space correlation function Mathematical equation = Mathematical equation [this term would replace the original spherical correlation function of a spherical colloid in equation (18[link])]. The correlation length ξ describes a finite correlation volume in the sample in which the structure is related to itself. The modulus of the wavevector Mathematical equation describes the preferred distance d of alternating domains. Even for Mathematical equation the whole formalism makes sense and was developed by Debye and Büche (Koberstein & Stein, 1980View full citation). For microemulsions, this formalism describes the bulk scattering (i.e. the two domains oil and water carry the major contrast). For a heuristic approach to the surface scattering (or the film scattering in microemulsions), we want to develop a relatively simple formula that involves only a minimum set of additional parameters. Usually, the film contrast is related to the square of the original real-space correlation function (Stephenson, 1966View full citation; Roux et al., 1990View full citation; Roux et al., 1992View full citation), i.e. Mathematical equation (k0r)2. However, the origin of the bulk correlation function is in the middle of a domain, while for the film contrast we need to place the spatial origin onto the film, i.e. Mathematical equation Mathematical equation. This correlation function now describes a divergence for Mathematical equation, but it causes a Mathematical equation asymptote at large q, which is desired for a surface scattering function. The scattering function is now

Mathematical equation

Here, the respective composition of hydrogenous material is called Mathematical equation. The first term now describes the film scattering (with a thickness δ = 12 Å for the surfactant C10E4) which is tightly connected to fluctuations of the oil and water domains. The structural volume Mathematical equation connected to this term arises from the patch area Mathematical equation. The second term was heuristically added (Nallet et al., 1990View full citation) because the surfactant concentration may also fluctuate on large scales like a two-component Ising critical fluid (without preferred structure) but seems to be invisible under bulk contrast (however, it might be connected to the extra surface of the bulk Porod scattering at higher q resulting from short-wavelength fluctuations). While Nallet connected this term to a Lorentz peak centered at q = 0, Daicic et al. (1995View full citation) connected the amplitude to the osmotic compressibility (Nallet et al., 1990View full citation), i.e. Mathematical equation = Mathematical equation to Mathematical equation. The first proportionality holds for simple microemulsions with three components only, and the latter one for polymer-filled microemulsions, i.e. the system then becomes dominated by entropic springs that keep the membranes apart from each other (Endo et al., 2001View full citation). The energy density or pressure Π arises from the arrangement of the membranes with a volume fraction Mathematical equation. Note that Mathematical equation. This second term of equation (87[link]) of the osmotic compressibility is based on thermodynamics and may be zero for static porous materials. In the classical Debye–Büche approach, the two different terms become indistinguishable anyway.

The strength of this heuristic approach for equation (87[link]) lies in the fact that the structural parameters ξ and d are shared between bulk and film contrast and only one additional amplitude Mathematical equation is introduced. Finally, it also has a physical meaning that is connected to the osmotic compressibility.

Now we discuss the quality of equation (87[link]) in the context of measurements (Endo et al., 2001View full citation). We multiplied this expression by a factor Mathematical equation to account for the film roughness. As the structural parameters d and ξ are given by the bulk measurements and one only needs to interpolate the values as a function of the membrane volume fraction Ψ, there are only two amplitudes that we treat as free parameters: Mathematical equation and Mathematical equation. The results are displayed in Fig. 10[link] and the parameters are given in Table 2[link]. The obtained values for A1 agree within ±7% with the calculated expectations, thus demonstrating the quality of the new expression.

Table 2
The parameters used to describe the film scattering of microemulsions (Endo et al., 2001View full citation)

The parameters d and ξ were obtained by interpolation of the bulk scattering model fitting. The only free parameters were the amplitudes A1 and Mathematical equation.

Sample d (Å) ξ (Å) Mathematical equation (cm−1 Å −2) Mathematical equation (cm−1) σ (Å)
20 325 170 1.77 23.1 3.3
21 451 243 1.39 28.2 3.3
23 746 414 1.07 12.8 3.3
24 912 510 0.89 ± 0.02 27.9 ± 1.0 3.3
[Figure 10]
Figure 10
The film contrast measurements from Endo et al. (2001View full citation) (shifted by a factor of 0.3 each) described by equation (87) (red lines) with interpolated parameters d and ξ from the bulk measurements and only two free parameters A1 and Mathematical equation.

While in the beginning we focused on real microemulsions which allow us to compare the derived functions with real experiments, the focus now is on porous materials which could have extended pore spaces of d ∼ 0.1 to 10 µm. Thus, the description becomes interesting for multiple scattering issues, and so we derive the corresponding scattering functions that were used in the main article [equation (38[link])] and may apply for porous materials. For the bulk scattering we obtain

Mathematical equation

The corresponding volume is Mathematical equation. For the surface scattering we obtain

Mathematical equation

As mentioned above, the corresponding area is Mathematical equation. The classical Debye–Büche (Koberstein & Stein, 1980View full citation) correlation function is obtained in the limit of Mathematical equation. The corresponding correlation function is a single exponential according to Mathematical equation. The simpler bulk scattering is now

Mathematical equation

Here, the volume Mathematical equation applies. For the surface scattering we arrive at the following:

Mathematical equation

The corresponding area is Mathematical equation. With these formulae we have another set of expressions that would allow the modeling of porous media including coherent multiple scattering.

Acknowledgements

We thank Liliana de Campo and Jitendra Mata from the instrument Kookaburra at ANSTO for providing scattering data. We thank Hitoshi Endo (JAEA, Japan) and Michael Monkenbusch (JCNS, Germany) for providing the original scattering data of microemulsions under film contrast. We thank Vitaliy Pipich from the instrument KWS-3 at FRM II, Garching, for providing measurements on BSA protein aggregates that were formulated by Frank Schreiber and Fajun Zhang at University Tübingen. No external funding has been raised for this research. Open access funding enabled and organized by Projekt DEAL.

Conflict of interest

There are no conflicts of interest to be declared.

Funding information

CJG is grateful to Fonds De La Recherche Scientifique – FNRS, Belgium, for a research associate position.

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