research papers
Reconstructing the reflectivity of liquid surfaces from grazing incidence X-ray off-specular scattering data
aDeutsches Elektronen-Synchrotron DESY, Notkestrasse 85, 22607 Hamburg, Germany, and bNational Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY 11973, USA
*Correspondence e-mail: chen.shen@desy.de, ocko@bnl.gov
The capillary wave model of a liquid surface predicts both the X-ray specular reflection and the diffuse scattering around it. A quantitative method is presented to obtain the X-ray reflectivity (XRR) from a liquid surface through the diffuse scattering data around the specular reflection measured using a grazing incidence X-ray off-specular scattering (GIXOS) geometry at a fixed horizontal offset angle with respect to the plane of incidence. With this approach the entire Qz-dependent reflectivity profile can be obtained at a single, fixed incident angle. This permits a much faster acquisition of the profile than with conventional reflectometry, where the incident angle must be scanned point by point to obtain a Qz-dependent profile. The XRR derived from the GIXOS-measured diffuse scattering, referred to in this paper as pseudo-reflectivity, provides a larger Qz range compared with the reflectivity measured by conventional reflectometry. Transforming the GIXOS-measured diffuse scattering profile to pseudo-XRR opens up the GIXOS method to widely available specular XRR analysis software tools. Here the GIXOS-derived pseudo-XRR is compared with the XRR measured by specular reflectometry from two simple vapor–liquid interfaces at different and from a hexadecyltrimethylammonium bromide monolayer on a water surface. For the simple liquids, excellent agreement (beyond 11 orders of magnitude in signal) is found between the two methods, supporting the approach of using GIXOS-measured diffuse scattering to derive reflectivities. Pseudo-XRR obtained at different horizontal offset angles with respect to the plane of incidence yields indistinguishable results, and this supports the robustness of the GIXOS-XRR approach. The pseudo-XRR method can be extended to soft thin films on a liquid surface, and criteria are established for the applicability of the approach.
Keywords: X-ray reflectivity; grazing incidence off-specular scattering; capillary waves; surface tension; diffuse scattering; surface-normal structure.
1. Introduction
Liquid surfaces are important model systems for understanding the interactions near interfaces (Als-Nielsen & Pershan, 1983; Ocko et al., 1997; Schwartz et al., 1990; Haddad et al., 2018; Pershan, 2011), and also serve as reaction platforms for electrochemistry (Sartori et al., 2022), biophysics (Stefaniu et al., 2014) or chemical engineering (Wang et al., 2021). The use of reflectometry, X-ray (XRR) and neutron (NR), to study surface-induced layering and organic films on water is well established (Braslau et al., 1988; Kjaer et al., 1988; de Boer, 1994; Zhou & Chen, 1995; Pershan, 1994; Tolan, 1999a; Daillant & Alba, 2000; Schlossman & Tikhonov, 2008), and it is the most reliable method for determining the surface-normal interfacial structure. To achieve the highest spatial resolution a large surface-normal scattering vector magnitude (Qz) is required. The limitation on the Qz range is typically when the reflected signal starts to be lower than about 20% of the background, and at these Qz values long counting times are required since the background-subtracted signal is much noisier than the total signal. This typically occurs when the reflectivity is of the order of 10−9, and for many systems this occurs at Qz > 0.5 Å−1. Long counting times limit the possibility of carrying out operando measurements and are often the reason for radiation damage on samples, especially at the highest Qz values where all attenuators have been removed and the sample footprint is the smallest. Moreover, performing liquid surface reflectometry requires accurate alignment and rotations of the deflecting crystal(s) in order to satisfy their Bragg condition(s) while the beam is deflected downwards over a wide range of incident angles (Als-Nielsen & Pershan, 1983; Schlossman et al., 1997; Murphy et al., 2014). The crystal-deflecting optics limit the availability of such liquid surface reflectometers, but also complicate the background shielding. Note that with NR the Qz range is typically about a factor of 2–2.5 less than with XRR (Campbell et al., 2011). Despite the ability to enhance the contrast with NR through deuteration, for thin organic films XRR is often preferred over NR as it provides better spatial resolution.
Grazing incidence X-ray off-specular scattering (GIXOS) has been proposed as an alternative technique for measuring surface-normal interfacial structures on liquid surfaces (Wiegart et al., 2005, 2009; Mora et al., 2003; Dai et al., 2011; Shen et al., 2022). With this method the Qz-dependent diffuse scattering intensity is measured in a single shot at a fixed grazing incident angle. For liquid surfaces it is well established that the specular reflection (on or close to the specular axis) and diffuse scattering around the specular position (off-specular axis) are described by the same analytical scattering expressions (Tostmann et al., 1999; Pershan, 2000; Shpyrko et al., 2004), and the two signals cannot be separated. A combined analysis of the specular reflection and its diffuse scattering allows one to obtain both the root-mean-square (r.m.s.) roughness induced by the thermal excited capillary wave and the local, intrinsic interfacial structure on liquid surfaces (Sinha et al., 1988; Shpyrko et al., 2004; Daillant et al., 2005; Vaknin, 2012). In pioneering GIXOS measurements on liquid surfaces, albeit over a limited Qz range, Dai et al. (2011) showed that with the incident angle less than the critical angle the diffuse scattering follows the expected form predicted by the capillary wave model. This suggests the possibility to analytically derive the reflectivity from GIXOS-measured diffuse scattering data, which would enable the use of fast and well established XRR analysis software tools and avoid the complicated and time-consuming analysis of the entire 2D diffuse scattering data. Here we refer to reflectivity that is derived from the GIXOS-measured diffuse scattering as `pseudo-reflectivity', to distinguish it from the reflectometry-measured specular reflectivity where the exit scattering angle is always equal to the incident angle. Note that many efforts to describe the GIXOS from liquid surfaces are not complete or correct since the capillary wave contribution has been neglected (Wiegart et al., 2005; Oliveira et al., 2010; Pusterla et al., 2022; Harvey et al., 2023), and these efforts will be discussed further below.
Here we provide a simple expression to derive the pseudo-reflectivity from the diffuse scattering data measured with GIXOS. With this expression we find excellent agreement with specular reflectivity results up to Qz ∼ 1 Å−1. The calculation rests on the assumption that the expression for the diffuse scattering can be calculated precisely using the capillary wave model (CWM) and the measured sample must exhibit a homogeneous surface. Finally, we also show how the bending rigidity on liquid surfaces affects the calculation and its application to soft matter thin films on liquid surfaces.
2. Theory
Before presenting the relationship between the specular reflection from a liquid surface and its associated diffuse scattering, we review how the scattering intensity profile is related to the surface topology of the liquid surface. Readers who are mainly interested in the application of the pseudo-reflectivity method can jump directly to equations (8)–(10) at the end of this section.
The surface topology of a liquid surface is generated by the sum of thermally excited capillary waves. Their wavelengths extend from the atomic/molecular size to the gravitational cut-off, typically several millimetres. The amplitude of these capillary wave modes, which is the amplitude of the Fourier components of the height fluctuation with the in-plane wavevector Qxy, can be related through the equipartition theorem to thermodynamic quantities (Bedeaux & Weeks, 1985). This provides the power spectral density (PSD), = , where Δρm, γ, g, T, kB and A are, respectively, the difference between the two sides of the interface, temperature, and surface area, and 〈…〉 denotes the ensemble average (Daillant & Alba, 2000; Bedeaux & Weeks, 1985; Tolan, 1999b). A 2D Fourier transform of the PSD yields the real-space height–height correlation function of the instantaneous surface topology (Bedeaux & Weeks, 1985; Sanyal et al., 1991; Tolan, 1999b):
where rxy is the in-plane distance. = ∼ 10−7 Å−1 is the low-wavenumber cut-off above which the thermal capillary waves dominate and the long-wavelength waves cannot be excited. K0 is a hyperbolic Bessel function of the second kind of 0th order. For an average intermolecular distance am, the shortest wavelength for capillary waves is 2am (neighboring molecules move in opposite directions) and accordingly Qmax = 2π/(2am) = π/am is the upper-wavenumber cut-off for the capillary waves. The surface area term in the denominator of the PSD is canceled by an area term which appears in the numerator after performing a Fourier transform over the surface area.
The differential scattering cross section1 from the surface is computed from the Fourier transform of the height–height correlation function from real space into Q space (Braslau et al., 1988; Pershan, 2000):
where and the in-plane wavevector
with the modulus (Fig. 1). Ω is the solid angle at which the scattered is collected. A0 is the unit area of the incident beam. λ is the X-ray wavelength. The incident angle is α, the vertical exit scattering angle is β and the horizontal (off-specular) exit scattering angle is 2θ (Fig. 1). The parameter is a dimensionless exponent that scales with Qz2. The z-dependent scattering length density (SLD) profile is given by ρb(z), where ρb,∞ is the SLD of the bulk liquid. The SLD is related to the electron density ρe as ρb(z) = ρe(z)re, where re = 2.82 × 10−15 m is the classical electron radius. The intrinsic surface-normal structure factor
is the Fourier transform of the SLD gradient along the surface normal, normalized by ρb,∞, and its squared modulus |Φ(Qz)|2 is used in the reflectivity calculation. The transmisson coefficients t(α) and t(β) are, respectively, the amplitudes of the evanescent wavefields induced by the incident and the scattering wave, and they are close to unity except near the critical incident/exit angle where they peak at about 2 (Feidenhans'l, 1989) (see Section S1 in the supporting information).
For both the specular reflection and the diffuse scattering around the specular reflection, the normalized intensity – the probability of an incident X-ray scattering into an angular opening ΔΩ – measured at an exit scattering angle (β, 2θ) is an integral of the differential over ΔΩ (Braslau et al., 1988). ΔΩ is defined by the vertical and horizontal angular openings Δβ and Δ2θ (FWHM) for measuring the scattered photons, as = =:
The angular openings Δβ and Δ2θ are the angular resolution of the measurements. The calculated differential = = .
The measured specular reflectivity corresponds to the integral around the reflection condition (α = β) from to , and from to (Pershan, 2000):
δQxy,R is the in-plane Qxy resolution (HWHM) of the reflectivity measurement, which is defined by angular resolution Δβ and Δ2θ through the resolutions and along Qy and Qx, respectively [Fig. 1(b)]. From a practical perspective, this is defined by a rectangular slit around the reflection condition in front of a point detector (Braslau et al., 1988), or equivalently a rectangular area around the reflection condition on an area detector, within which the scattered photons are integrated [Fig. 1(b)]. For specular reflectivity, a fixed Δβ, determined by a constant vertical detector opening, is typically used over the entire β range. Hence the in-plane resolution δQxy,R inceases with β and is Qz dependent. The Qz resolution δQz,R is usually negligible for XRR since it is <0.1% of Qz, which is determined jointly by the energy dispersion and the angular divergence of the incident beam. Δβ contributes very little to the uncertainty of Qz since the integrand is very sharply peaked at β = α.
is the Fresnel reflectivity, i.e. the reflectivity of an ideal surface without roughness with a bulk SLD ρb,∞, with Qc = the critical wavevector (for a vapor–water interface at 293 K, Qc = 0.02176 Å−1 for an X-ray energy of 15 keV). For α, β larger than several times the critical angle, |t(α)|4 is set to unity for the reason provided above. Under these conditions, the Fresnel reflectivity can be approximated as .
For simple liquid surfaces (no surface monolayer) it is convenient to assume that the intrinsic SLD profile ρb(z) of the free liquid surface has an error function shape with an r.m.s. width of σ0, and hence its gradient dρb(z)/dz has a Gaussian shape with the r.m.s. width of σ0 (Schwartz et al., 1990). In this case, the phenomenological Gaussian r.m.s. roughness σR is provided by how the measured reflectivity falls off compared with the Fresnel reflectivity. This phenomenological roughness is given by
The first term is the summed contribution from all capillary wave modes, and the second term is the contribution from the r.m.s. width of the local, intrinsic SLD profile across the interface (Schwartz et al., 1990; Pershan, 2000), which is related to the size of the atoms/molecules on the surface. This phenomenological roughness varies with the Qz-dependent in-plane resolution δQxy,R. It is common to calculate a single r.m.s. roughness value σR by using the δQxy,R value at the largest Qz measured since the effect of σR is largest at the highest Qz values.
The diffuse scattering R* around the specular reflection has an analytical expression identical to that of R except for the range of integration: the range of integration of R* does not overlap the specular condition [Fig. 1(b)]. Using equation (3), R* is given by
The in-plane Qxy resolution for R* is also defined by Δβ and Δ2θ [Fig. 1(b)]. The out-of-plane Qz resolution δQz for R* is determined differently from δQz,R for specular reflectivity. As mentioned above, for specular reflectivity δQz,R is effectively determined by the very narrow incident resolution and Δβ does not contribute to δQz,R. For diffuse scattering R* the integrand is slowly varying over the integrated range and, unlike the specular scattering, it does not exhibit a peak shape. Consequently the Qz resolution for the GIXOS case is given by and this varies nearly linearly with Δβ. Hence, δQz associated with R* is larger than that associated with specular reflectivity. To increase the accepted R* intensity it is straightforward to increase Δβ and Δ2θ. Note that this same principle does not apply for specular reflectivity. For thin surface films, this broader Qz resolution, compared with that of the specular reflectivity, has negligible effect on the structure-factor determination.
Rearranging the expression above provides the ratio r(Qz, Qxy) between the diffuse scattering R* around the specular reflection and the specular reflectivity R at the same Qz:
The first term is constant over most of the Qz range in the GIXOS geometry since the incident angle α is fixed (Dai et al., 2011), and |t(β)|2 is close to unity except near the critical exit angle where it peaks at about 4 (Feidenhans'l, 1989). The second term is sample specific and depends on the temperature and Except for the Qz4 term, the Qz dependency arises from the final terms through η. Note that an in-plane resolution δQxy,R of the pseudo-reflectivity must be specified in calculating r. As mentioned previously, for the conventional specular reflectivity case, the resolution δQxy,R varies with Qz and consequently the r.m.s. roughness σR determined by conventional specular reflectivity depends on Qz [equation (5)]. The typical practice of using δQxy,R from the highest Qz to calculate σR is only an approximation. However, the deviations of σR with this approximate form compared with the exact form using Qz-dependent δQxy,R are relatively small since δQxy,R appears in the logarithm of the σR calculation. Derivation of the pseudo-reflectivity allows the use of a single value of δQxy,R for all Qz to provide a fixed value of σR that is independent of Qz. Note that to directly compare the pseudo-reflectivity Rpseudo (see below) with the measured specular reflectivity it is necessary to use the Qz-dependent form of δQxy,R according to the reflectometer's experimental configuration used in the calculation of r.
Δβ and Δ2θ are the angular integration ranges for the diffuse scattering measurement. If is slowly varying with 2θ over Δ2θ, it is appropriate to replace the integral by multiplying Δ2θ and Δβ with the averaged value between and . Moreover, if we approximate |t(β)|2 as unity (see Section S1) the expression is further simplified to
Equation (8) and its simplified version, equation (9), provide a quantitative means to derive the liquid surface specular reflectivity from the diffuse scattering around the specular reflection. This expression is accurate as long as the diffuse scattering can be fully described by the CWM. Here we refer to the reflectivity derived from the diffuse scattering around the specular reflection as pseudo-reflectivity Rpseudo, to distinguish it from the measured reflectivity R by the conventional reflectometry method. It is calculated as
Two important features of the diffuse scattering around the specular reflection, shown by equations (6) and (8), provide the possibility to obtain the pseudo-reflectivity Rpseudo with a larger than with conventional measured specular reflectivity R. One feature of R* is the slower Qz-dependent decay compared with the decay term of the specular reflectivity. This is demonstrated in Fig. 2 which shows that the Qz dependency of the diffuse scattering R* is relatively flat compared with that of R. Here, R and R* are computed with the same angular resolutions, Δβ = 0.08° and Δ2θ = 0.004°. The relative decay of these two [given by the Qz dependency of r, equation (9)] is . Although R* is relatively weak at small Qz, at sufficiently large Qz these two terms become comparable, with a value of 10−12 [Qz ∼ 1.1 Å−1, Fig. 2(a), black/colored solid lines]. As discussed above, the value of R* can be increased by increasing the angular resolutions Δβ and Δ2θ of the scattered photon measurement [equation (6)]. Fig. 2(a) shows a comparison between R* and R after a 20× broadening of the angular resolution (Δβ = 0.08°, Δ2θ = 0.08°, black/colored dashed lines). Over the whole Qz range, R* is increased by the same proportion (20×) as the broadening of the angular resolution, while R only increases slightly. Consequently, with a broader resolution R* becomes comparable to R at much smaller wavevectors (Qz ∼ 0.8 Å−1, R ∼ 10−10). Above this value of Qz, the diffuse scattering R* measured by GIXOS with a broader resolution is stronger than the specular reflectivity at the same Qz. Although R* is small, about 10−10 to 10−11, it is readily measurable with grazing incidence experiments up to , i.e. the physical limit where the specular reflection from the liquid surface becomes absent (Pershan, 2000; Shpyrko et al., 2004). In contrast, conventional specular reflectometry can only be reasonably measured for η < 1 since, at large Qz, the specular peak is very broad and the bulk scattering background is relatively strong (Shpyrko et al., 2004). Hence, GIXOS makes it possible to measure the diffuse scattering and derive pseudo-reflectivities beyond the Qz range of conventional reflectometry, and this enables surface-normal structure analysis from liquid surfaces at improved real-space resolution. Additional examples are provided in the supporting information Section S2.
3. Instrument and experimental details
Experiments were conducted on two simple vapor–liquid interfaces at different M hexadecyltrimethylammonium bromide (CTAB) solution in water. Pure water (resistivity > 18.2 MΩ cm at 25°C, total organic carbon < 2 p.p.b.) was obtained from the Purelab Ultra system (ELGA LabWater) or Millipore system (MilliporeSigma). Denatured ethanol (>99.8%, Carl Roth GmbH + Co. KG) was used as purchased. CTAB (>99.0%, Sigma–Aldrich), as purchased, was dissolved in pure water and stirred for 30 min at 40°C to give a 0.6 mM solution. All the glassware in contact with the liquid and the Langmuir trough plate was rinsed thoroughly with water, ethanol and water, three times each, before final filling with the liquid sample.
[pure water and a mixture of water with 10 vol% ethanol (mass fraction 8%)] and the Gibbs layer of a 0.6 mExperiments performed at the high-resolution diffraction beamline P08 at the PETRA III synchrotron (DESY, Hamburg, Germany) (Seeck et al., 2012) utilize the Langmuir trough grazing incidence diffraction setup (Shen et al., 2022). Experimental details are briefly summarized here while technical details of the setup are provided elsewhere (Shen et al., 2022). The incident beam at 15 keV with a size of 0.25 × 0.07 mm (horizontal × vertical) was deflected downwards using a quartz mirror to an incident angle of 0.070° with respect to the horizontal plane. This corresponds to ∼85% of the critical angle of the air–water interface. The incident on the sample was ∼2 × 1010 photons s−1. To avoid air scattering, the X-ray beam was transported without windows in vaccum from the upstream optics to about 10 mm in front of the Langmuir trough, where it was terminated by a 25 µm-thick Kapton X-ray window. The trough setup (a modified G4, Kibron Inc., Finland) utilized a 350 mm-long Teflon trough, the temperature of which was controlled by circulating water beneath the Teflon trough. The enclosure was saturated with wet helium to reduce the background scattering (O2 mol% < 1%). To reduce the entrance window scattering (Shen et al., 2022), a 0.3 mm-diameter pinhole in a 2 mm-thick tungsten sheet was placed within the trough enclosure, between the Kapton entrance window and the trough. A 0.5 mm-thick tungsten beamstop was installed within the trough enclosure, after the trough and before the Kapton exit window, in order to capture the specular reflected beam, and this minimizes small-angle scattering from the exit Kapton windows (for details of the beamstop, see Section S3). The front face of an Eiger2 X 1M detector (Dectris AG, Switzerland) was mounted 561 mm (Ddet) from the center of the Langmuir trough. No slit or collimation component was installed between the exit X-ray window of the trough enclosure and the detector. During the X-ray measurements the was monitored. The measurements of the CTAB/water solution surface, the ethanol solution and pure water were carried out with a circulating water temperature of, respectively, 292, 293 or 295 K (details above). A Pt100 resistance sensor (4-wire configuration) immersed in the subphase measured the same value as the set temperatures.
To measure the diffuse scattering around the specular reflection by GIXOS, the sample was illuminated for 140 s (∼3 × 1012 impinging photons). To measure the parasitic scattering from the enclosure chamber, the trough was lowered by 1 mm so that the beam was above the sample and directly illuminated the beamstop (same 140 s exposure). All other instrumental components remained at the same position.
Experiments performed at the Open Platform Liquids Scattering (OPLS) endstation of the beamline 12ID at the National Synchrotron Light Source II (NSLS-II, Brookhaven National Laboratory, USA) were carried out using a conventional single-crystal deflector where the sample height must be repositioned at each incident angle (Als-Nielsen & Pershan, 1983). This instrument, despite its higher background compared with the P08 instrument, offers both conventional specular XRR and GIXOS pseudo-reflectivity measurements, thus enabling a direct comparison of results from both methods on the same sample. At OPLS, measurements were carried out using 14.4 keV photons and a beam size of 200 × 7 µm (horizontal × vertical) at 292 K. In the XRR measurement, the specular reflection intensity was integrated over a square region of 1 × 1 mm on the Lambda 250k GaAs detector (X-Spectrum GmbH, Germany) mounted 1 m from the sample. This configuration corresponds to a rectangular angular opening with Δβ and Δ2θ of ±0.5 mrad. XRR background intensities were integrated over the same angular opening size, at 2θ = 1 mrad on both sides from the specular reflection position, and the two intensities were averaged. GIXOS measurements utilized an incident angle of 0.0723° and a PILATUS 100k detector (Dectris AG, Switzerland) at 0.6 m rotating about the z axis. The off-specular angle Qxy|β=0 = 0.04 Å−1 (see caption of Fig. 2) was set by the horizontal position of a 0.25 mm-wide post-sample slit. Scattering data were extracted from a 0.5 mm-wide (horizontal) region on the detector throughout its vertical length, and hence this region served the same purpose as the second slit in Fig. 1 of Fradin et al. (2000) and Dai et al. (2011). Within this region, the intensity was first summed through the horizontal direction and summed every 1 mm along the vertical direction to yield a 1D GIXOS profile along Qz at a constant 2θ position with a resolution Δβ = 0.16° and Δ2θ = 0.08° (the value of Δβ corresponds to the binning size of 1 mm along the vertical direction, and the Δ2θ value corresponds to the 0.5 mm-wide region of integration, both for a 0.6 m detector–sample distance). The pros and cons of the configurations at P08 and at OPLS are discussed in Section S7.
To prepare the GIXOS data at both P08 and OPLS for integrals over solid angles, the raw detector images are first transformed into an intensity map Iraw(β, 2θ) in angular space through geometric transformations that use the sample–detector distance Ddet, the pixel indices, the pixel size and the relative orientation of the incident beam with respect to the detector and the horizon orientations. Next, to enhance the signal–noise ratio, Iraw(β, 2θ) from P08 is rebinned and grouped into uniformly spaced pixels in (β, 2θ) space with equal pixel sizes of Δβ = 0.08° and Δ2θ = 0.08° (see Section S5 which gives the intensity maps and an example region of rebinning). These approximately correspond to ten times the angular resolution of the pixel size of the detector. Details of the scattering angle calculation, rebinning, grouping and the geometrical correction used for these procedures are given in Section S4. Note that the rebinning into uniformly spaced pixels in (β, 2θ) space is not a necessary step for the analysis and is performed only for practical convenience. The binning and the angular resolution of the OPLS data were described in the previous paragraph.
Proper background subtraction is critical for extracting the contribution of the surface diffuse scattering R* around the specular reflection from the GIXOS-measured signal. The instrument scattering data Iinstr(β, 2θ) are subtracted from the grouped data from the liquid surface I(β, 2θ) in order to remove the contributions from the window and the air scattering. In addition to this instrument contribution, one must also account for the scattering from the underlying bulk liquid (water, or the water/ethanol mixture) (Fradin et al., 2000). Far from the plane of incidence, the contribution of the surface diffuse scattering originating from the interfacial thermal fluctuation is neglible and the bulk scattering is independent of the azimuthal angle. The large 2D scattering pattern from P08 allows one to obtain this Q-dependent, isotropic bulk liquid scattering by azimuthally averaging the wide-angle scattering – after the instrument scattering subtraction – at 2θ > 2.4° (Qxy > 0.3 Å−1) and β > 0.2° [azimuthal averaging was performed with pyFAI (Ashiotis et al., 2015)]. This β range is larger than 2.5 times the critical angle such that the Yoneda peak (β = αc) is absent. The azimuthally averaged background has been phenomenologically modeled successfully using the form , up to Q = 1.3 Å−1, a Q range relevant for our GIXOS measurements, where y0, F, t are fitting parameters. The background-corrected data I*(β)|2θ are then obtained by subtracting the bulk scattering intensity at the same Q to which (β, 2θ) corresponded:
where
The limited Qxy range of the OPLS-obtained GIXOS profile does not permit the aforementioned bulk scattering background method and instead a phenomenological approach is used. Details of background considerations relevant for performing a GIXOS experiment with the two configurations can be found in Section S7. Finally, normalizing I*(β)|2θ by the primary beam intensity yields the diffuse scattering R*(β)|2θ around the specular reflection.
For the two simple liquid surfaces, the pseudo-reflectivity is derived from the diffuse scattering data R*(β)|2θ at different 2θ by equations (8)–(10) for a pseudo-reflectivity resolution δQxy,R = 2 × 10−4 Å−1, using the chosen angular resolutions, Δ2θ = 0.08°, Δβ = 0.08°, of the diffuse scattering R*, and the measured and temperature values. The choice of δQxy,R = 2 × 10−4 Å−1 is predicated on previous measurements (Schwartz et al., 1990; Vaknin et al., 2009).2 Qxy is computed for each β as described in Section 2. The CWM [equation (4)] has already been shown to correctly describe the specular reflectivity for several simple liquids (Schwartz et al., 1990; Sanyal et al., 1991; Ocko et al., 1997; Shpyrko et al., 2004; Vaknin et al., 2009). To validate the pseudo-reflectivity approach on these two simple liquids, we compare our results with previous specular reflectivity findings (Schwartz et al., 1990; Shpyrko et al., 2004; Vaknin et al., 2009). To derive the pseudo-reflectivities we set the intermolecular distance am to 3.1 Å for water (Schwartz et al., 1990) and to 3.4 Å for the water/ethanol mixture (Daillant et al., 2005). The (modulus) can be obtained according to equation (4) using the measured, normalized pseudo-reflectivity and a CWM term:
An error function is used as the model SLD profile of the simple liquid surfaces to fit the local intrinsic Φ(Qz)| in order to obtain the intrinsic r.m.s. roughness σ0 of the interface. Note that the same expression applies for specular reflectivity by replacing Rpseudo by R.
|In the case of the CTAB monolayer, the Qz-dependent δQxy,R resolution at OPLS corresponding to an angular opening Δβ and Δ2θ of ±0.5 mrad is applied to the derivation of Rpseudo to allow a direct comparison with the specular XRR measured on the same sample. Moreover, one must also consider how the background is subtracted in the OPLS XRR measurement since the scattering background also includes a small diffuse scattering component (Section S8) (Pershan, 2000). The background was obtained by measurements of the off-specular signal at 1 mrad in 2θ. Hence the background-subtracted measured XRR is not precisely R given in equation (4) but R′,
and it is often more conventient to express this as
Here R′ and 2θbkg (1 mrad) are, respectively, the conventionally measured specular reflectivity and the off-specular angle of the background measurement, where is the XRR incident angle for Qz. I|2θ=0 and are the intensities at the specular and the off-axis (2θbkg) positions, both measured with the angular opening Δβ and Δ2θ of ±0.5 mrad. Ibulk is the contribution of the bulk scattering background, assumed to be the same at the specular and slight off-axis positions. and are the diffuse scattering contribution at the 2θbkg off-specular angle from the specular reflection position (and hence with the incident angle αR) and its ratio to the specular reflectivity, respectively. R′ is always smaller than R calculated by equation (4) since the signal measured at 2θbkg contains remnants of the surface diffuse scattering due to the tails (Shpyrko et al., 2004). This deviation is negligible at small Qz and becomes significant when the diffuse scattering around the specular reflection approaches the order of the reflection at large Qz. For comparison with R′, a corresponding that also subtracts an off-axis diffuse scattering must be used,
where is computed with the configuration of the OPLS XRR measurement: Δβ = ±0.5 mrad, Δ2θ = ±0.5 mrad, 2θbkg = 1 mrad and .
4. Simple liquid surfaces
Before comparing our results from simple liquid surfaces with literature reflectivity findings on the same systems, we first compare the diffuse scattering results with the CWM to verify that the CWM is applicable to our results. In Fig. 3 we show the Qxy dependency of the diffuse scattering R* around the specular reflection, measured by GIXOS, for the water surface and for the surface of a mixture of water with 10 vol% ethanol (mass fraction 8%). They both show the expected dependency of R*. The open circles are the measured R* versus Qxy profiles at six different values of Qz ranging from 0.09 to 0.60 Å−1, and the solid lines display the theoretical R* profiles predicted by CWM. Here η depends on the measured temperature and Qz, and ranges from a value 0.009 at the smallest Qz to 0.320 at the largest Qz for water, and from 0.012 to 0.427 for the mixture. For all Qz, and for both samples, the results are in very good agreement with the theoretical R* [lines, calculated from equation (6)] based on the CWM (Pershan, 2000). Note that the R* data were directly obtained by normalization to the measured primary beam intensity I0 as defined by equations (3) and (6), and no further renormalization has been performed (see Section 3). Further consideration of the normalization of R* can be found in Section S9.
The pseudo-reflectivity, Rpseudo = R*/r, derived from the GIXOS-measured diffuse scattering around the specular reflection from the two surfaces investigated is shown in Fig. 4. At the smallest Qz below Qc, Rpseudo is close to unity, as it is for specular reflectivity. At the largest Qz values (∼1 Å−1), the pseudo-reflectivity has fallen by about 11 orders of magnitude, about a factor of 10 larger than that which can be obtained with specular XRR. Over the entire Qz range, the pseudo-reflectivity (δQxy,R = 2 × 10−4 Å−1) agrees very well with the theoretical specular XRR curve predicted by the CWM [equation (4)]. Here, the specular XRR consists of the product of three terms: (i) RF using ρb,∞ of the bulk, (ii) the CWM term , obtained using the measured and temperature and the pseudo-reflectivity resolution δQxy,R = 2 × 10−4 Å−1, and (iii) the instrinsic structure-factor term which is given by a Gaussian r.m.s. roughness whose value is obtained via a fit. For our measurements, the fitted intrinsic roughness for water is σ0 = 0.4 ± 0.1 Å and for the water mixed with 10% ethanol the fitted σ0 = 0.9 ± 0.1 Å. The water result is in excellent agreement with σ0 = 0.5 Å obtained by Shpyrko using specular XRR (Shpyrko et al., 2004) (although Shpyrko et al. do not explicitly give the value of the intrinsic roughness, the negative deviation in their Fig. 4 corresponds to a σ0 of 0.5 Å), an experiment that properly accounted for the diffuse scattering (see Section S8). Our measured intrinsic roughness is close to the atomic radius of oxygen, 0.6 Å (Slater, 1964), which is by far the dominant scattering element of water. Our results are also in reasonable agreement with the GIXOS-measured diffuse scattering results of Dai et al. (2011) who obtained σ0 = 0 Å, albeit with a much larger error bar given the reduced range of the measurements and the absence of the bulk contribution subtraction. Our results would also be in reasonable agreement with those of Schwartz (0.85 Å) or Vaknin (0.6 Å),3 if they had used the same Qmax = π/am as used here (Schwartz et al., 1990; Vaknin et al., 2009). Measurements from other studies obtained larger values of σ0 which may originate from the cleanness of the water surface and/or the lower XRR values at large Qz that originate from an overestimation of the background (Braslau et al., 1985, 1988; Pershan, 2016; Murphy et al., 2014). This is because their background included remnants of the surface diffuse scattering signal (see Section S8). Compared with the pioneering GIXOS studies of Dai et al. (2011), which extend in Qz to 0.5 Å−1, albeit with error bars larger than that of the specular XRR, our results double the Qz range (1 Å−1) and have a smaller uncertainty.
Typically, the analysis of XRR from simple liquid surfaces involves fitting the entire deviation of R/RF from unity by using a single phenomenological Gaussian r.m.s. roughness value, σR [equation (5)]. For the water and water/ethanol mixture, this yields σR of 2.8 ± 0.1 and 3.3 ± 0.1 Å, respectively, where we have used an in-plane reflectivity resolution, 2 × 10−4 Å−1, that is similar to the XRR resolutions utilized by Schwartz et al. (1990) and Vaknin et al. (2009) to calculate Rpseudo from R*. These phenomenological Gaussian roughness values are consistent with the literature values (Schwartz et al., 1990; Vaknin et al., 2009). Directly fitting the deviation of R* from unity rather than using ( R*/r)/RF yields an underestimated r.m.s. roughness (σR ≃ 2 Å, Fig. 4), i.e. the interface would incorrectly appear to be sharper. Note that in earlier GIXOS publications the analyses had used R* (equivalent to setting r ∝ 1/RF) and those analyses did not consider the diffuse scattering effects of the CWM (Oliveira et al., 2010; Pusterla et al., 2022; Harvey et al., 2023). Despite the excellent fits and a reasonable qualitative estimation of the SLD profiles ρb(z), the fitted values of σR were unphysically small, similar to the water example discussed above. According to our expressions, the value of ( R*/r)/RF should be independent of the off-specular position. As demonstrated in Fig. 5 for five off-specular positions (Qxy|β=0: 0, 0.01, 0.02, 0.03 and 0.06 Å−1) (see Fig. 2 caption), the ( R*/r)/RF curves are independent of the position. [Note that that R*/RF profiles at different off-specular positions Qxy|β=0 do not overlap (Section S6, Fig. S5).] This invariance demonstrates that the derivation of Rpseudo = R*/r correctly accounts for the Qxy dependence of the CWM. Although the GIXOS-XRR method can be applied to any off-specular position, smaller positions yield more precision as they have better counting statistics and signal-to-background ratios.
5. CTAB Gibbs monolayer
The calculation of Rpseudo = R*/r through the measurement of R* and the calculated r should also be applicable to soft matter thin films on a liquid surface as long as the film bending modulus κc is sufficiently small. In this case the surface topology is still dominated by the capillary wave of the subphase liquid, and the effect of the film rigidity is negligible. To see whether equations (8) and (9) are applicable, one must evaluate the expression of the PSD = (Tolan, 1999b) to check the contribution of the term. When either the bending rigidity or Qxy is sufficiently small such that , the effects of bending rigidity can be ignored in the analysis, and equations (8) and (9) are a good approximation for calculating r (results to be published). One must consider that Qxy increases with β (Section S10) since Qy increases with β (see Fig. 2 caption). Here we calculate the Qxy value at the highest Qz (largest β) of the measurements. Next, this value is used to calculate the maximum where equations (8) and (9) remain a good approximation. On the basis of the inequality above, for a maximum Qxy of 0.05 Å−1, and for a of 45 mN m−1 at a temperature of 292 K, equations (8) and (9) are applicable for a film with κc < 5kBT.
Measurements on the free surface of a CTAB solution at a concentration below its ). Particularly relevant to the present analysis is that the monolayer exhibits a bending modulus smaller than 3kBT so that equations (8) and (9) are applicable. This is supported by the fact that the diffuse scattering R* follows the CWM (, Section S11). CTAB surface reflectivity results are first presented for measurements performed at the OPLS endstation of 12ID at NSLS-II. Taking into account the XRR background subtractions (see Section 3), we compare the off-specular subtracted pseudo-reflectivity with its XRR-measured R′(Qz) [equations (14) and (15), Fig. 6] measured on the same sample. The results show reasonable agreement, with a minor deviation in the high-Qz region (>0.4 Å−1), between the 12ID (blue triangles) and R′ (black circles). Additional measurements, carried out at the lower-background P08 GIXOS instrument (magenta crosses), provide that agrees even better with the XRR-measured R′ than with the obtained at 12ID. Overall, the consistency between and R′ from the Gibbs layer of CTAB validates the applicability of the GIXOS-XRR method to thin surface films that exhibit weak stiffness.
were carried out using both reflectivity methods on the same sample. Here a monolayer is formed that gives rise to a modulated reflectivity profile which differs from the monotonically decaying profile of simple liquids (Fig. 66. Discussion and summary
The theoretical expression for the specular XRR from a liquid surface contains a term related to the capillary wave surface roughness and a second term related to the Fourier transform of the instrinsic SLD profile along the surface normal [equation (4)] (Pershan, 2000; Braslau et al., 1988). A principal aim of XRR studies on liquid surfaces is to obtain the surface-normal structure by least-squares fitting analysis using physically motivated forms of the Whereas specular XRR experiments are carried out by measuring reflected intensities under the condition where the exit scattering angle is set to the incident angle, we have shown above how Rpseudo can be obtained from the diffuse scattering around the specular reflection at a single, fixed incident angle, using GIXOS measurement. As with specular XRR, Rpseudo allows one to use the identical approach for obtaining the surface-normal structure from liquid surfaces.
To validate the approach of using GIXOS-measured diffuse scattering to obtain the reflectivity, we first investigated the liquid samples at different surface tensions, namely pure water and a water/ethanol mixture. These are simple interfaces without surface layering where their surface tensions and diffuse scattering are well documented (Schwartz et al., 1990; Sanyal et al., 1991; Vazquez et al., 1995; Shpyrko et al., 2004; Vaknin et al., 2009). Their derived Rpseudo at several off-specular positions Qxy|β = 0 all agree with the specular reflectivity predicted by the CWM (Fig. 5), showing the robustness of the method. The measured diffuse scattering indeed shows the expected CWM-predicted behavior at all Qz (Fig. 3), where the η parameter is computed using the measured temperature and Qz value. This GIXOS-XRR method and its applicability to more complex liquid surfaces are validated by GIXOS and conventional XRR measurements on the same CTAB Gibbs monolayer, an equilibrium monolayer that forms at the air–liquid interface of a bulk solution of CTAB.
Moreover, our results also show that this GIXOS-XRR method provides a reflectivity curve that extends beyond 11 orders, a and 6). This higher Qz range permits structural analysis with better spatial resolution. This larger is due to two features of the GIXOS measurement. Firstly, the GIXOS-XRR method uses fully the extensive wings of the surface diffuse scattering around the specular reflection, whereas diffuse scattering reduces the reflection intensity measured by the specular XRR (Shpyrko et al., 2004). This allows GIXOS measurements to enlarge the effective detection area to collect more of the diffuse scattering, which improves the statistics [Fig. 2(a)]. Secondly, in the GIXOS case, the bulk scattering depth is ∼100 Å (∼ 2/Qc) for the total reflection condition (incident angle is below the critical angle). (The 1/e of the under the total reflection condition is 2/Qc when the incident angle is 85% of the critical angle, and 1/Qc when the incident angle approaches zero.) In the case of the specular XRR, the bulk scattering depth is more than 1000× larger and is set by the attenuation length of the subphase material. Hence the bulk scattering contribution relative to the surface scattering signal is much smaller with GIXOS measurements compared with specular XRR measurements, especially in the high-Qz region. For instance, for the water surface at Qz = 0.8 Å−1, the surface diffuse signal using the GIXOS method is about 10% of the bulk scattering signal [Section S7, Fig. S7(a)], making it still possible to resolve the surface signal with sufficient statistics after the bulk scattering subtraction.
that is not achievable using conventional specular XRR (Figs. 4The GIXOS-XRR method presents several advantages over conventional specular XRR: (i) The Rpseudo from the GIXOS-XRR method is larger, allowing the reflectivity to be obtained reliably up to a higher Qz. (ii) With GIXOS, the reflectivity over the entire Qz range is obtained in a single shot with a fixed footprint. This enables kinetic and operando measurements, and also pump–probe schemes. This method provides the same illuminated region for all Qz, and avoids variation of the X-ray footprint with Qz which is inherent with specular XRR. Moreover, there is much less beam damage under grazing incidence conditions as the per unit surface area is reduced by about a factor of 100 at the highest Qz values compared with specular XRR. (iii) The GIXOS setup is simpler than the specular XRR setup. Whereas crystal reflection optics are required for specular XRR to deflect the beam down over a range of α (Als-Nielsen & Pershan, 1983; Schlossman et al., 1997; Honkimäki et al., 2006; Murphy et al., 2014), a bounce-down mirror is sufficient for GIXOS measurements. Further, the range of vertical sample motion is much reduced for GIXOS measurements. (iv) Whereas with specular reflectivity the in-plane resolution δQxy,R varies with Qz, it is possible to use a fixed in-plane resolution for all Qz to calculate Rpseudo. This fixed resolution gives rise to a Qz-independent σR. (v) Excellent background shielding and reduction of parasitic small-angle X-ray scattering background are achievable with GIXOS measurements. With a bounce-down mirror it is easy to remove most of the air scattering from the beam flight paths. In addition, a small narrow guard slit is introduced in the sample chamber to further reduce parasitic small-angle scattering before the sample.
of7. Related literature
The following additional references are cited in the supporting information: Baker et al. (2010), Fukuto et al. (1998), Hura et al. (2000), Mechler et al. (2010), Orthaber et al. (2000), Shpyrko et al. (2003) and Tristram-Nagle & Nagle (personal communication).
8. Conclusion
In this paper we provide mathematical expressions, based on the capillary wave model of liquid surfaces, to reconstruct the reflectivity curve from the diffuse scattering results acquired by grazing incidence X-ray off-specular scattering measurements at a fixed incident angle. This method provides an alternative technique to measure the surface-normal structure, other than conventional specular XRR, while still allowing the use of standard XRR analysis software tools. This method also provides a better signal–noise ratio, faster acquisition, less beam damage and a larger Qz range compared with conventional XRR. The faster acquisition enables time-resolved surface structure analysis. The GIXOS-XRR method utilizes a simple experimental setup, one suitable for many existing focused synchrotron beamlines by the addition of a few additional components. While the present work does not consider the role of bending rigidity, these effects will be included in a subsequent paper. This not only expands the use of the GIXOS-XRR method to stiffer surface layers, it also provides an explicit method for calculating the bending rigidity on liquid surfaces.
Supporting information
Supporting information. DOI: https://doi.org/10.1107/S1600576724002887/xx5044sup1.pdf
Footnotes
1(i) The cut-off Ql,c in 〈h(rxy)h(0)〉 cancels out during the computation of dσ/dΩ. (ii) The following expression of dσ/dΩ does not include the effect of the limited coherent length ξcoh of the synchrotron beam (typically on the order of tens of µm). With the limited coherent length, the Fourier transform is only integrated up to ξcoh in rxy, and may result in a broadening of the singularity of dσ/dΩ at Qxy = 0 to a width of 1/ξcoh (HWHM) (Dutta & Sinha, 1981; Sinha et al., 1988). This broadening is negligible for most XRR and GIXOS measurements as the resolution is dominated by the solid-angle opening of the detector and is much broader than 1/ξcoh [see equation (3)].
2In Schwartz's study, the 0.8 mm-high slit opening at 600 mm from the sample gives Δβ = 1.33 mrad and = 1.7 × 10−4 Å−1 at Qz = 0.5 Å−1, the largest Qz in their study (λ = 1.259 Å). In Vaknin's study, the 1.5 mm-high slit opening at 750 mm from the sample at 16.2 keV gives δQxy,R = 2.5 × 10−4 Å−1 at Qz = 0.5 Å−1.
3Schwartz et al. (1990) report σ0= 0 Å using Qmax = (π/1.4) Å−1, while Vaknin et al. (2009) report the same using Qmax = (π/1.93) Å−1. According to equation (5) using the correct am = 3.1 Å, their results correspond to σ0 = 0.85 and 0.63 Å, respectively.
Acknowledgements
We acknowledge DESY (Hamburg, Germany), a member of the Helmholtz Association HGF, for the provision of experimental facilities. Parts of this research were carried out at the light source PETRA III, and we thank Dr Florian Bertram and Mr René Kirchhof for assistance in using beamline P08, and Dr Milena Lippmann and Mrs Monika Dahdouli in using the chemistry laboratory. We acknowledge Professor Olaf Magnussen and PD Dr Bridget Murphy from Kiel University, Germany, for providing the detector. We thank Mr Andrew Wright for his help during the NSLS-II experiment. We thank Professor Moshe Deutsch, Dr Jochim Stettner, Dr Oliver Seeck and Dr Masafumi Fukuto for the careful reading of our manuscript and valuable suggestions. CS thanks Dr Florian Bertram from DESY for the fruitful discussion, Professor John F. Nagle and Professor Stephanie Tristram-Nagle from Carnegie Mellon University for the instruction on beamstops for diffuse scattering measurements, and TIDE Treibholz und Feinkost and Altamira in Hamburg for providing inspiration. Open access funding enabled and organized by Projekt DEAL.
Funding information
The following funding is acknowledged: Helmholtz Gemeinschaft Deutscher Forschungszentren [grant Nos. (DE-HGF)POF4-632, (DE-HGF)POF4-633, (DE-HGF)POF4-6G3 to Deutsches Elektronen-Synchrotron (DESY)]. We acknowledge the Federal Ministry of Education and Research (BMBF) of the Federal Republic of Germany for financing the Eiger detector via the grant ErUM Pro 05K19FK2 (Murphy). Parts of this research used the Open Platform Liquid Surfaces (OPLS) endstation of the Soft Matter Interfaces Beamline (SMI, 12-ID) of the National Synchrotron Light Source II, a US Department of Energy (DOE) Office of Science user facility operated for the DOE Office of Science by Brookhaven National Laboratory under contract No. DE-SC0012704.
References
Als-Nielsen, J. & Pershan, P. S. (1983). Nucl. Instrum. Methods Phys. Res. 208, 545–548. CAS Google Scholar
Ashiotis, G., Deschildre, A., Nawaz, Z., Wright, J. P., Karkoulis, D., Picca, F. E. & Kieffer, J. (2015). J. Appl. Cryst. 48, 510–519. Web of Science CrossRef CAS IUCr Journals Google Scholar
Baker, J. L., Jimison, L. H., Mannsfeld, S., Volkman, S., Yin, S., Subramanian, V., Salleo, A., Alivisatos, A. P. & Toney, M. F. (2010). Langmuir, 26, 9146–9151. Web of Science CrossRef CAS PubMed Google Scholar
Bedeaux, D. & Weeks, J. D. (1985). J. Chem. Phys. 82, 972–979. CrossRef CAS Google Scholar
Boer, D. K. G. de (1994). Phys. Rev. B, 49, 5817–5820. CrossRef Web of Science Google Scholar
Braslau, A., Deutsch, M., Pershan, P. S., Weiss, A. H., Als-Nielsen, J. & Bohr, J. (1985). Phys. Rev. Lett. 54, 114–117. CrossRef PubMed CAS Web of Science Google Scholar
Braslau, A., Pershan, P. S., Swislow, G., Ocko, B. M. & Als-Nielsen, J. (1988). Phys. Rev. A, 38, 2457–2470. CrossRef CAS PubMed Web of Science Google Scholar
Campbell, R. A., Wacklin, H. P., Sutton, I., Cubitt, R. & Fragneto, G. (2011). Eur. Phys. J. Plus, 126, 107. Google Scholar
Dai, Y., Lin, B., Meron, M., Kim, K., Leahy, B. & Shpyrko, O. G. (2011). J. Appl. Phys. 110, 102213. Web of Science CrossRef Google Scholar
Daillant, J. & Alba, M. (2000). Rep. Prog. Phys. 63, 1725–1777. Web of Science CrossRef CAS Google Scholar
Daillant, J., Bellet-Amalric, E., Braslau, A., Charitat, T., Fragneto, G., Graner, F., Mora, S., Rieutord, F. & Stidder, B. (2005). Proc. Natl Acad. Sci. USA, 102, 11639–11644. Web of Science CrossRef PubMed CAS Google Scholar
Dutta, P. & Sinha, S. K. (1981). Phys. Rev. Lett. 47, 50–53. CrossRef Google Scholar
Feidenhans'l, R. (1989). Surf. Sci. Rep. 10, 105–188. CrossRef CAS Web of Science Google Scholar
Fradin, C., Braslau, A., Luzet, D., Smilgies, D., Alba, M., Boudet, N., Mecke, K. & Daillant, J. (2000). Nature, 403, 871–874. CrossRef PubMed CAS Google Scholar
Fukuto, M., Heilmann, R. K., Pershan, P. S., Griffiths, J. A., Yu, S. M. & Tirrell, D. A. (1998). Phys. Rev. Lett. 81, 3455–3458. CrossRef CAS Google Scholar
Haddad, J., Pontoni, D., Murphy, B. M., Festersen, S., Runge, B., Magnussen, O. M., Steinrück, H.-G., Reichert, H., Ocko, B. M. & Deutsch, M. (2018). Proc. Natl Acad. Sci. USA, 115, E1100–E1107. CrossRef CAS PubMed Google Scholar
Harvey, R. D., Bello, G., Kikhney, A. G., Torres, J., Surya, W., Wölk, C. & Shen, C. (2023). J. Appl. Cryst. 56, 1639–1649. CrossRef CAS IUCr Journals Google Scholar
Honkimäki, V., Reichert, H., Okasinski, J. S. & Dosch, H. (2006). J. Synchrotron Rad. 13, 426–431. Web of Science CrossRef IUCr Journals Google Scholar
Hura, G., Sorenson, J. M., Glaeser, R. M. & Head-Gordon, T. (2000). J. Chem. Phys. 113, 9140–9148. CrossRef CAS Google Scholar
Kjaer, K., Als-Neilsen, J., Heln, C. A., Tippmann-Krayer, P. & Möhwald, H. (1988). Thin Solid Films, 159, 17–28. CrossRef CAS Google Scholar
Mechler, S., Pershan, P. S., Yahel, E., Stoltz, S. E., Shpyrko, O. G., Lin, B., Meron, M. & Sellner, S. (2010). Phys. Rev. Lett. 105, 186101. CrossRef PubMed Google Scholar
Mora, S., Daillant, J., Mecke, K., Luzet, D., Braslau, A., Alba, M. & Struth, B. (2003). Phys. Rev. Lett. 90, 216101. CrossRef PubMed Google Scholar
Murphy, B. M., Greve, M., Runge, B., Koops, C. T., Elsen, A., Stettner, J., Seeck, O. H. & Magnussen, O. M. (2014). J. Synchrotron Rad. 21, 45–56. Web of Science CrossRef CAS IUCr Journals Google Scholar
Ocko, B. M., Wu, X. Z., Sirota, E. B., Sinha, S. K., Gang, O. & Deutsch, M. (1997). Phys. Rev. E, 55, 3164–3182. CrossRef CAS Web of Science Google Scholar
Oliveira, R. G., Schneck, E., Quinn, B. E., Konovalov, O. V., Brandenburg, K., Gutsmann, T., Gill, T., Hanna, C. B., Pink, D. A. & Tanaka, M. (2010). Phys. Rev. E, 81, 041901. CrossRef Google Scholar
Orthaber, D., Bergmann, A. & Glatter, O. (2000). J. Appl. Cryst. 33, 218–225. Web of Science CrossRef CAS IUCr Journals Google Scholar
Pershan, P. S. (1994). J. Phys. Condens. Matter, 6, A37–A50. CrossRef CAS Google Scholar
Pershan, P. S. (2000). Colloids Surf. A Physicochem. Eng. Asp. 171, 149–157. CrossRef CAS Google Scholar
Pershan, P. S. (2011). Eur. Phys. J. Spec. Top. 196, 109–120. CrossRef CAS Google Scholar
Pershan, P. S. (2016). Personal communication. Google Scholar
Pusterla, J. M., Scoppola, E., Appel, C., Mukhina, T., Shen, C., Brezesinski, G. & Schneck, E. (2022). Nanoscale, 14, 15048–15059. CrossRef CAS PubMed Google Scholar
Sanyal, M. K., Sinha, S. K., Huang, K. G. & Ocko, B. M. (1991). Phys. Rev. Lett. 66, 628–631. CrossRef PubMed CAS Web of Science Google Scholar
Sartori, A., Giri, R. P., Fujii, H., Hövelmann, S. C., Warias, J. E., Jordt, P., Shen, C., Murphy, B. M. & Magnussen, O. M. (2022). Nat. Commun. 13, 5421. Google Scholar
Schlossman, M. L., Synal, D., Guan, Y., Meron, M., Shea-McCarthy, G., Huang, Z., Acero, A., Williams, S. M., Rice, S. A. & Viccaro, P. J. (1997). Rev. Sci. Instrum. 68, 4372–4384. Web of Science CrossRef CAS Google Scholar
Schlossman, M. L. & Tikhonov, A. M. (2008). Annu. Rev. Phys. Chem. 59, 153–177. Web of Science CrossRef PubMed CAS Google Scholar
Schwartz, D. K., Schlossman, M. L., Kawamoto, E. H., Kellogg, G. J., Pershan, P. S. & Ocko, B. M. (1990). Phys. Rev. A, 41, 5687–5690. CrossRef CAS PubMed Web of Science Google Scholar
Seeck, O. H., Deiter, C., Pflaum, K., Bertam, F., Beerlink, A., Franz, H., Horbach, J., Schulte-Schrepping, H., Murphy, B. M., Greve, M. & Magnussen, O. (2012). J. Synchrotron Rad. 19, 30–38. Web of Science CrossRef CAS IUCr Journals Google Scholar
Shen, C., Kirchhof, R. & Bertram, F. (2022). J. Phys. Conf. Ser. 2380, 012047. CrossRef Google Scholar
Shpyrko, O., Fukuto, M., Pershan, P., Ocko, B., Kuzmenko, I., Gog, T. & Deutsch, M. (2004). Phys. Rev. B, 69, 245423. Web of Science CrossRef Google Scholar
Shpyrko, O., Huber, P., Grigoriev, A., Pershan, P., Ocko, B., Tostmann, H. & Deutsch, M. (2003). Phys. Rev. B, 67, 115405. Web of Science CrossRef Google Scholar
Sinha, S. K., Sirota, E. B., Garoff, S. & Stanley, H. B. (1988). Phys. Rev. B, 38, 2297–2311. CrossRef CAS Web of Science Google Scholar
Slater, J. C. (1964). J. Chem. Phys. 41, 3199–3204. CrossRef CAS Web of Science Google Scholar
Sloutskin, E., Tamam, L., Sapir, Z., Ocko, B. M., Bain, C. D., Kuzmenko, I., Gog, T. & Deutsch, M. (2022). Langmuir, 38, 12356–12366. CrossRef CAS PubMed Google Scholar
Stefaniu, C., Brezesinski, G. & Möhwald, H. (2014). Adv. Colloid Interface Sci. 208, 197–213. Web of Science CrossRef CAS PubMed Google Scholar
Tolan, M. (1999a). X-ray Scattering From Soft-Matter Thin Films: Materials Science and Basic Research, edited by M. Tolan, pp. 5–31. Berlin: Springer. Google Scholar
Tolan, M. (1999b). X-ray Scattering From Soft-Matter Thin Films: Materials Science and Basic Research, edited by M. Tolan, pp. 91–112. Berlin: Springer. Google Scholar
Tostmann, H., DiMasi, E., Pershan, P. S., Ocko, B. M., Shpyrko, O. G. & Deutsch, M. (1999). Phys. Rev. B, 59, 783–791. Web of Science CrossRef CAS Google Scholar
Vaknin, D. (2012). Characterization of Materials. John Wiley & Sons. https://doi.org/10.1002/0471266965.com077.pub2. Google Scholar
Vaknin, D., Bu, W., Sung, J., Jeon, Y. & Kim, D. (2009). J. Phys. Condens. Matter, 21, 115105. CrossRef PubMed Google Scholar
Vazquez, G., Alvarez, E. & Navaza, J. M. (1995). J. Chem. Eng. Data, 40, 611–614. CrossRef CAS Web of Science Google Scholar
Wang, Z., Zhang, Z., Qi, H., Ortega-Guerrero, A., Wang, L., Xu, K., Wang, M., Park, S., Hennersdorf, F., Dianat, A., Croy, A., Komber, H., Cuniberti, G., Weigand, J. J., Kaiser, U., Dong, R. & Feng, X. (2021). Nat. Synth. 1, 69–76. CSD CrossRef Google Scholar
Wiegart, L., O'Flaherty, S. M. & Terech, P. (2009). Langmuir, 25, 4104–4110. Web of Science CrossRef PubMed CAS Google Scholar
Wiegart, L., Struth, B., Tolan, M. & Terech, P. (2005). Langmuir, 21, 7349–7357. CrossRef PubMed CAS Google Scholar
Zhou, X. L. & Chen, S. H. (1995). Phys. Rep.-Rev. Sec. Phys. Lett. 257, 223–348. CAS Google Scholar
This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.