Contrast variation by dynamic nuclear polarization and time-of-flight small-angle neutron scattering. I. Application to industrial multi-component nanocomposites1
aInstitute of Quantum Beam Science, Ibaraki University, Ibaraki, 316-8511, Japan, bSumitomo Rubber Industries Ltd, Kobe, 651-0072, Japan, cMaterials Science Research Center, Japan Atomic Energy Agency, Ibaraki, 319-1195, Japan, dJ-PARC Center, Japan Atomic Energy Agency, Ibaraki, 319-1195, Japan, and eNeutron Science and Technology Center, Comprehensive Research Organization for Science and Society (CROSS), Ibaraki, 319-1106, Japan
*Correspondence e-mail: email@example.com, firstname.lastname@example.org
Dynamic nuclear polarization (DNP) at low temperature (1.2 K) and high magnetic field (3.3 T) was applied to a contrast variation study in small-angle neutron scattering (SANS) focusing on industrial rubber materials. By varying the scattering contrast by DNP, time-of-flight SANS profiles were obtained at the pulsed neutron source of the Japan Proton Accelerator Research Complex (J-PARC). The concentration of a small organic molecule, (2,2,6,6-tetramethylpiperidine-1-yl)oxy (TEMPO), was carefully controlled by a doping method using vapour sorption into the rubber specimens. With the assistance of microwave irradiation (94 GHz), almost full polarization of the paramagnetic electronic spin of TEMPO was transferred to the spin state of hydrogen (protons) in the rubber materials to obtain a high proton spin polarization (PH). The following samples were prepared: (i) a binary mixture of styrene–butadiene random copolymer (SBR) with silica particles (SBR/SP); and (ii) a ternary mixture of SBR with silica and carbon black particles (SBR/SP/CP). For the binary mixture (SBR/SP), the intensity of SANS significantly increased or decreased while keeping its q dependence for PH = −35% or PH = 40%, respectively. The q behaviour of SANS for the SBR/SP mixture can be reproduced using the form factor of a spherical particle. The intensity at low q (∼0.01 Å−1) varied as a quadratic function of PH and indicated a minimum value at PH = 30%, which can be explained by the scattering contrast between SP and SBR. The scattering intensity at high q (∼0.3 Å−1) decreased with increasing PH, which is attributed to the incoherent scattering from hydrogen. For the ternary mixture (SBR/SP/CP), the q behaviour of SANS was varied by changing PH. At PH = −35%, the scattering maxima originating from the form factor of SP prevailed, whereas at PH = 29% and PH = 38%, the scattering maxima disappeared. After decomposition of the total SANS according to inverse matrix calculations, the partial scattering functions were obtained. The partial scattering function obtained for SP was well reproduced by a spherical form factor and matched the SANS profile for the SBR/SP mixture. The partial scattering function for CP exhibited surface fractal behaviour according to q−3.6, which is consistent with the results for the SBR/CP mixture.
Contrast variation in small-angle neutron scattering (SANS) is a very useful technique for investigating multi-component systems. For example, in a three-component (ternary) system, contrast variation can emphasize the scattering from a specific component. Therefore, by decomposing the result, we can obtain the partial scattering functions. For this purpose, deuterium substitution has conventionally been used, which takes advantage of the difference in neutron scattering length between protons and deuterons. The deuterium substitution technique can easily be applied to solutions or gels, owing to the reasonable availability of deuterated solvents, whereas the synthesis of deuterated polymers is more costly and requires greater effort, especially for industrial materials. Hence, alternative methods applicable to industrial polymer systems are needed.
Besides deuterium substitution, contrast variation can also be achieved by controlling the spin states of both neutrons and protons. The coherent scattering length (bcoh,H) and incoherent scattering cross section (σinc,H) for hydrogen (or protons) are given by the following equations (Sears, 1992):
where PN and PH denote the polarization of neutrons and protons, respectively. Polarization is the difference in populations between up and down spins. Figs. 1(a) and 1(b) show the PH dependence of bcoh,H and σinc,H, respectively. Note that the variation in bcoh,H is about 2.5 times larger than that caused only by deuterium substitution under ordinary conditions (then PHPN = 0). For PHPN = 0, the coherent scattering length of hydrogen is −0.374, whereas that for a deuteron is 0.667 × 10−12 cm (Sears, 1992).
Polarization at thermal equilibrium (TE) states for proton (PH,TE) and electron spins (Pe,TE) can be described by considering the Zeeman splitting energy and Boltzmann statistics:
where is Planck's constant divided by 2π, γH and γe are the gyromagnetic ratios of a proton and an electron, respectively, H0 is the magnetic field, kB is Boltzmann's constant, and T is the temperature.
Table 1 lists the polarization values at thermal equilibrium evaluated according to equations (3) and (4). At room temperature, up and down proton spins are almost equally populated. With decreasing temperature, spin polarization increases. However, even at 3.3 T and 1.2 K, the proton spin is polarized up to only 0.3%. In contrast, the electron spin is polarized up to 95% under the same conditions (at 3.3 T and 1.2 K). This is because of the large difference in gyromagnetic ratio between the electron spin and the proton spin (|γe|/γH = 658). The large polarization of the electron spin can be transferred to the proton spin by microwave irradiation with energy equal to the simultaneous flipping of electron and proton spins (Abragam & Goldman, 1978). Consequently, high proton spin polarization is achieved. This is called dynamic nuclear polarization (DNP) and requires electron spin doping, a magnetic field, low temperature and microwave irradiation.
For SANS investigations, proton spin polarization was first applied to structural analysis on the ribosomal protein structure in solution (Stuhrmann et al., 1986). After that pioneering work, several papers reported the utilization of proton spin polarization in neutron scattering experiments (Kohgi et al., 1987; Knop et al., 1992; Fermon et al., 1992; Grinten et al., 1995; Brandt et al., 2006, 2007; Noda et al., 2009, 2011, 2013; Kumada et al., 2010; Stuhrmann, 2015).
Bunyatova (2004) originally developed the vapour sorption technique of TEMPO [(2,2,6,6-tetramethylpiperidine-1-yl)oxy] radicals into solid polymer materials to create polarized targets in nuclear physics experiments. Fig. 2(a) shows the molecular structure formula of TEMPO. On the basis of this technique, we prepared polymer systems for SANS studies after the construction of a DNP cryostat (Kumada et al., 2009a,b) and polarized neutron ultra-small-angle scattering spectrometer (SANS-J-II) (Koizumi et al., 2007) at research reactor JRR-3, Tokai, Japan. We investigated a polyethylene film (Noda et al., 2009) and a di-block copolymer to evaluate precisely the inhomogeneity of the proton polarization around the doped TEMPO molecules (Noda et al., 2011). Subsequently, the vapour sorption technique was successfully applied to silica-filled rubber, which is used for fuel-efficient tyres (Noda et al., 2013). The vapour sorption technique can be applied to industrial rubber products after a manufacturing process.
A tyre, i.e. a multi-component nanocomposite, is an attractive target for contrast variation SANS with DNP. To improve wear and tear resistance, filler particles, such as carbon black (CB) and silica particles (SP), are mixed into the rubber matrix. The spatial distribution of filler particles in the rubber matrix determines not only the tyre's reinforcement but also its energy loss performance (Schaefer et al., 2000; Koga et al., 2005, 2008; Takenaka et al., 2009; Bouty et al., 2014; Genix & Oberdisse, 2015). In accordance with the empirical knowledge that a homogeneous dispersion of filler particles lowers the energy loss, various attempts towards dispersion control have been conducted (Byers, 2002). To optimize tyre rubber performance, a reliable methodology for evaluating the filler particle dispersion is critical.
The combination of CB and SP is frequently used for manufacturing tyres. In addition to the above-mentioned effects, CB is advantageous for specific UV resistance and electric discharge. For precise structural analyses, we need to decompose the total SANS observed for a multi-component system into individual partial scattering functions.
In this article, we report our recent achievements on DNP and contrast variation SANS on model mixtures for industrial tyres. At the Materials and Life Science Experimental Facility (MLF) of the Japan Proton Accelerator Research Complex (J-PARC), we performed time-of-flight (TOF) SANS experiments, employing a wide range of neutron wavelength (λ). This causes imperfect neutron polarization (PN), depending on λ and variations in the coherent and incoherent scattering lengths.
As a model system for an industrial tyre, we prepared two types of rubber specimen: a binary mixture of styrene–butadiene random copolymer (SBR) with silica particles (SBR/SP), and a ternary mixture of SBR with silica and CB particles (SBR/SP/CP). Fig. 2(b) shows the molecular structure formula of SBR. As listed in Table 2, the samples consist of solution-SBR (S-SBR, Buna VSL 4720, Lanxess Corp.), silica particles (Seahostar KE-P10, Nippon Shokubai Co. Ltd), CB (N330, Tokai Carbon Co. Ltd), silane coupling agent (Si 69, Evonik Degussa GmbH) and other additives. We selected silica particles with a narrow radius distribution.
All ingredients were mixed in a milling machine and the resulting mixture was pressed into a mould and kept at 443 K for 20 min. The thicknesses of the SBR/SP and SBR/SP/CP specimens produced were 0.56 and 0.24 mm, respectively.
In order to perform DNP, an electron spin source is required in a specimen. By a vapour sorption technique, the stable free radical molecule TEMPO (Fig. 2a) was introduced into the rubbery mixture prepared in §2.1. The vaporized TEMPO radicals were spontaneously absorbed and diffused into the amorphous matrix of SBR. We placed the rubber mixtures with TEMPO inside a sealed container at 313 K for 1 week. Consequently, the vaporized TEMPO spontaneously permeated the rubber matrix. By electron spin resonance measurements, the TEMPO concentrations were determined at 37 and 35 mM for the binary (SBR/SP) and ternary (SBR/SP/CP) mixtures, respectively. These concentrations were close enough to the optimum value (30 mM) for DNP.
The influence of the added TEMPO on the microstructure should be noted. We confirmed experimentally that SANS obtained for the mixture after TEMPO doping coincided with that obtained for the mixture before doping. The static structure, which is a target of this contrast variation SANS study, was not affected by the addition of TEMPO. On the other hand, regarding dynamic properties, the storage and loss modulus (Busfield et al., 2000) and the longitudinal and transverse proton relaxation times (Stapf & Kariyo, 2005) were affected by the addition of small organic molecules (a few per cent in weight), which is known as the `plasticizer' effect.
Fig. 3 shows the DNP cryostat used in this study (Kumada et al., 2009a,b). A rubber specimen is placed in a chamber filled with liquid 4He. By evaporating the liquid 4He, the specimen is cooled to 1.2 K during continuous microwave irradiation (94 GHz). The sample chamber is located between the split-type superconducting magnet coils. The superconducting magnet generates a magnetic field up to 3.5 T at the sample position. The magnetic field is parallel to the neutron beam direction. The inhomogeneity of the magnetic field (ΔB/B0) was designed to be less than 10−4 to avoid proton spin depolarization. The neutron beam passes along the central axis of the magnet coils. The windows through which the neutron beam passes are formed of thin aluminium plates, which cause less background scattering.
Fig. 4(a) shows a photograph of the sample cell. On the upstream side, a Cd plate with a 12 mm diameter hole is fixed. A thin (0.1 mm) aluminium sheet is fixed inside to prevent microwave leakage. The aluminium case has several holes for circulating liquid He; the diameter of these holes is 0.5 mm, which is much less than the 94 GHz microwave wavelength (3 mm). Fig. 4(b) shows a photograph of the sample cell when the upstream side cover is removed. Inside the aluminium case, a polytetrafluoroethylene (PTFE) part supports a three-turn NMR coil made of 0.1 mm-thick aluminium plate for PH evaluation. PH is evaluated using the continuous-wave NMR circuit, which is described later in §3.1. As shown in Fig. 4(c), a sheet sample (14 × 14 × 1 mm) is inserted from the bottom into the NMR coil. After insertion of the sample, the aluminium block supporting the sample bottom is fixed by screws. Microwave radiation (94 GHz) is generated by the Gunn oscillator fixed over the top plate of the cryostat, which irradiates the sample through a stainless steel pipe of length 1 m and inside diameter 6 mm, filled with a PTFE rod. The specifications of the DNP cryostat are summarized in Table 3.
TOF-SANS experiments were performed on the TAIKAN instrument (BL15) (Shinohara, Suzuki et al., 2009; Shinohara, Takata et al., 2009; Takata et al., 2015) at the MLF of J-PARC. The TAIKAN instrument is equipped with a magnetic supermirror polarizer, composed of an Fe/Si multilayer (4Qc). Fig. 5 shows a schematic diagram of the device allocations on the SANS instrument. The roof of the shielding room has a sliding hatch covering the sample stage. Through this sliding hatch, the DNP cryostat was introduced onto the sample stage. The DNP cryostat was originally designed for SANS-J-II at JRR-3 and cannot fully cover the detectors of TAIKAN, having detectors for neutrons with wider scattering angles (2θ > 15°). The roof of the shielding room has two trenches under the sliding hatch. Through these trenches, pipes and cables were pulled out. The pipes are necessary to evaporate liquid 4He and to supply 4He gas. The cables are for energizing the superconducting magnet, monitoring the signals from the liquid helium level meter and the pressure and temperature sensors, measuring the NMR signals, and supplying voltage to the microwave generator. The mechanical booster pump unit and the two electronic racks were placed on the roof of the shield room. Consequently, we remotely controlled the magnetic field, sample temperature, NMR measurements and microwave irradiation.
Prior to SANS experiments with proton spin polarization, it is important to investigate the proton spin polarization behaviour of the TEMPO-doped rubber specimens using proton NMR. Fig. 6 shows the results of proton NMR. The integrated NMR signal was calibrated in order to coincide with the thermal equilibrium PH = 0.082% at 3.35 T and 4.2 K, which is given according to equation (3). Then by NMR, we can evaluate the bulk PH averaged over a whole specimen.
Fig. 7 shows the bulk PH as a function of microwave frequency. By tuning the microwave frequency, the bulk PH is converted from positive to negative. The microwave frequency can easily be controlled by the voltage supplied to the Gunn oscillator. The bulk PH also depends not only on the microwave frequency but also on the sample temperature.
Fig. 8 shows the bulk PH determined as a function of TEMPO concentration. At 30 mM, |PH| reaches a maximum value. Fig. 8 also shows the proton spin relaxation time. As the TEMPO concentration increases, the spin relaxation time decreases monotonically owing to the increase in magnetic field fluctuation which is caused by TEMPO radicals.
Fig. 9 shows the time profile of the bulk PH during the SANS experiment on the binary mixture (SBR/SP). Each SANS measurement was performed when the bulk PH was kept constant, as indicated by the shaded areas in Fig. 9. From 1.8 to 2.2 h, the bulk PH was swept in order to search for the contrast matching condition by changing the microwave frequency. The bulk PH quickly responded to the microwave frequency tuning (the time constant was 150–200 s). The fast response of PH is convenient for SANS experiments.
In the time region with no shading, the bulk PH changed continuously. Therefore, the coherent scattering length, and in turn the scattering contrast, also varied continuously. For such dynamic behaviours, the event–data format, which is commonly used in TOF-SANS experiments, is advantageous for extracting data from favourable time domains after the experiment.
Fig. 10(a) shows SANS obtained for the binary mixture (SBR/SP) without polarizing proton spins (PH = 0%). The SANS intensity is shown as a function of the magnitude of the scattering vector q [q = (4π/λ)sin(θ/2), where λ and θ are the wavelength of the neutrons and the scattering angle, respectively]. In the low-q region, scattering maxima originating from the form factor of the SPs were observed. The scattering curves (thick grey curves in Figs. 10a and 10b) were reproduced using equations (5)–(7) and considering a smearing effect for the BL15 collimation geometry:
In equation (5), fv is the volume fraction of spherical particles. In equation (6), F(q; R) is the scattering amplitude for a spherical particle of radius R, and Δρ is the scattering length density difference between the spherical particles and the surrounding medium. W(R) in equation (7) is a Gaussian function for the radius distribution, where R0 is the average radius and σ is the radius dispersion. As a result of our evaluations, we obtained R0 = 610 Å and σ = 40 Å. At that time, we calibrated SANS on the absolute intensity scale (cm−1) using the known volume fraction of SP.
As seen in Fig. 10, the intensity of SANS at low q increased at negative polarization PH = −35%. For positive polarization, the scattering intensity decreased at PH = 30% and increased again at PH = 40%. In order to examine the scattering intensity depending on the bulk PH, we evaluated the coherent scattering length density of SBR according to equation (1) and the chemical composition of SBR. Simultaneously, we separately evaluated the coherent scattering length density for polystyrene (PS) and polybutadiene (PB) monomers, which compose the SBR chain. Note that the SANS scattering intensity is proportional to the square of the difference in the coherent scattering length density. We found that the matching point between silica and SBR appears at PH = 30% (Fig. 11a).
As shown in Fig. 10(a), at high q between 0.1 and 0.3 Å−1, the SANS exhibited q-independent behaviour. It can readily be seen that the scattering intensity in this q region has decreased with increasing PH. This is consistent with the description for incoherent scattering according to equation (2). However, the influence of the imperfect neutron polarization on the incoherent scattering should be noted. If we postulate PN = 0 in equation (2), we obtain
In the TOF-SANS experiments, we utilized neutrons with a wide λ range simultaneously. The shorter-λ neutrons contribute to the higher-q region, whereas the longer-λ neutrons contribute to the lower-q region. Fig. 12 shows the PN provided at TAIKAN as a function of λ. PN has decreased with decreasing λ for λ < 4 Å, and become almost zero for λ < 1 Å.
Polarized neutrons are used effectively in polarization analysis for separating coherent and incoherent scattering. In this technique, by examining the spin-flip and non-spin-flip contributions, we can separate the coherent and incoherent scattering contributions. In the separation process, the λ dependence of PN can easily be corrected.
However, in the case of spin contrast variation, the λ dependence of PN affects not only the incoherent scattering length but also the coherent scattering length. Therefore, in the following analysis in this study, we only use data with 4 < λ < 7.6 Å, where PN > 97% is satisfied. The results are shown in Fig. 10(b). The observed q region is limited (q < 0.3 Å−1) because we excluded the shorter-λ contribution.
where t is the sample thickness and Σtot is given by
Here, i is the index for labelling the nuclear species, ni is the number density for the labelled nuclear species and σtot,i is the total cross section (the sum of coherent scattering, incoherent scattering and absorption cross sections) of the labelled nuclear species. For protons, the total scattering cross section (σtot,H) is given by
and for SBR/SP, Σtot = 4.49 − 3.48PH cm−1. In Fig. 13(a), T calculated by equation (9) is indicated by the dotted line. The transmission determined experimentally is consistent with the evaluation by equation (9), although the values are slightly high. The difference might be attributed to sample thickness distribution or multiple and inelastic scattering.
The scattering intensity at low q (q = 0.01 Å−1) is shown as a function of PH in Fig. 13(b). In the low-q region, the coherent scattering originating from silica particles is dominant. The solid line in Fig. 13(b) exhibits a contrast factor in between those of the silica and SBR phases [(ρSP − ρSBR)2], where ρSP is the scattering length density of silica (3.08 × 1010 cm−2) and ρSBR is the scattering length density of SBR [(0.62 + 8.39PH) × 1010 cm−2]. The evaluated solid line agrees well with the experimental results.
The scattering intensity at high q (q = 0.3 Å−1) is shown as a function of PH in Fig. 13(c). In this high-q region, incoherent scattering (Iinc) is dominant because the coherent scattering intensity from silica particles decreases drastically with increasing q. Iinc is given by
where Σinc is the sum of the incoherent scattering cross section per unit volume,
Here, i is the index for labelling nuclear species, ni is the number density for the labelled nuclear species and σinc,i is the incoherent scattering cross section of the labelled nuclear species. Using σinc,H in equation (2) for SBR/SP, equation (13) transforms to
The calculated results are shown in Fig. 13c by the dotted line, which does not reproduce the experiments well. By considering multiple scattering effects, Iinc is given by the following equation (Shibayama et al., 2005):
In Fig. 13(c), the solid grey line is calculated using equation (15) and a thickness t = 0.056 cm. It is closer to the experimental result, but still lower. This discrepancy might be attributed to the coherent scattering contribution that still exists in the high-q region. As shown in Fig. 11, the coherent scattering length densities of the PS and PB composing SBR deviate from each other for negative PH. Thus, local concentration fluctuations between PS and PB might give rise to coherent scattering, even at high q.
Fig. 14(a) shows the SANS results obtained for the ternary mixture system (SBR/SP/CP). According to the discussion in §3.2 for the data reduction, we employed the limited wavelength range of 4 < λ < 7.6 Å, which gives PN > 97%. As expected for a ternary mixture, the q dependence of the SANS varies significantly with changing proton spin polarization; the scattering maxima due to silica particles were observed for PH = 0% and PH = −34%, whereas they disappeared for PH = 29% and PH = 38%. As already shown in Fig. 11, the scattering length densities of silica and SBR match at PH = 30%. Around the matching point, the CB contribution was observed more clearly.
The SANS intensity for the ternary mixture is given by the sum of three partial scattering functions [SSP–SP(q), SCP–CP(q) and SSP–CP (q)] as follows:
where the partial scattering functions are weighted by a contrast factor. In this equation, ρSP, ρCP and ρSBR correspond to the neutron scattering length densities of the silica, CB and SBR phases, respectively: ρSP = 3.08 × 1010 cm−2, ρCP = 6.50 × 1010 cm−2 and ρSBR = (0.62 + 8.39PH) × 1010 cm−2. Only ρSBR depends on PH, because SBR contains hydrogen. SSP–SP(q), SCP–CP(q) and SSP–CP(q) are defined by the following equation:
where the subscript i or j labels one of the components (SP, CP or SBR) and δφi(r) indicates the fluctuation in the volume fraction of component i at position r. We observed the SANS at four different PH (Fig. 14a). Then, the I(q; PH,i) for different PH,i (i = 1 to 4) are described by
where the 4 × 3 matrix in the first line is denoted by M. The matrix elements are composed of contrast factors, as follows:
Depending on our experiments, M forms a non-square matrix (the number of experiments corresponds to that of the rows). Therefore, instead of a simple inverse matrix, we need to employ the method of the Moore–Penrose pseudo-inverse matrix, M+, defined as follows:
We evaluated M+ for the four different PH (0, 29, 38 and −34%) and the obtained plots of SSP–SP, SCP–CP and SSP–CP are shown by the symbols in Fig. 14(b). The partial scattering function of silica, SSP–SP, agreed well with the spherical form factor, the same as that for SBR/SP. The partial scattering function of CB, SCP–CP, indicated a power-law function of q−3.6, deviating from the Porod law (q−4) (Porod, 1951). This originates from surface structure of CB. The result agrees with reports for CB-filled rubber specimens (Koga et al., 2005, 2008). The decomposition into partial scattering functions was successfully achieved. The cross-correlation term between silica and CB, SSP–CP, was also determined. SSP–CP is negligibly small compared with SSP–SP and SCP–CP.
In this paper, we have reported the first attempt to use DNP and contrast variation SANS experiments on model mixtures for industrial tyres conducted at the MLF of J-PARC. We performed TOF-SANS experiments, employing neutrons with a wide λ range, which causes imperfect neutron polarization and variations in the coherent and incoherent scattering lengths. By carefully eliminating the effect of imperfect neutron polarization, separation of the partial scattering functions was successfully demonstrated for the ternary system SBR/SP/CP.
1This article will form part of a virtual special issue of the journal, presenting some highlights of the 16th International Conference on Small-Angle Scattering (SAS2015).
The neutron scattering experiment at the MLF of J-PARC was performed under the user programme (proposal No. 2016A0160). We appreciate the help of the MLF instrument safety team and sample environment team. This study was financially supported by a Grant-in-Aid for Young Scientists (A) (grant No. 25706033) of the Japan Society for the Promotion of Science.
Abragam, A. & Goldman, M. (1978). Rep. Prog. Phys. 41, 395–467. CrossRef CAS Web of Science
Bouty, A., Petitjean, L., Degrandcourt, C., Gummel, J., Kwaśniewski, P., Meneau, F., Boué, F., Couty, M. & Jestin, J. (2014). Macromolecules, 47, 5365–5378. Web of Science CrossRef CAS
Brandt, B. van den, Glättli, H., Grillo, I., Hautle, P., Jouve, H., Kohlbrecher, J., Konter, J. A., Leymarie, E., Mango, S., May, R. P., Michels, A., Stuhrmann, H. B. & Zimmer, O. (2006). Eur. Phys. J. B, 49, 157–165. Web of Science CrossRef
Brandt, B. van den, Glättli, H., Hautle, P., Kohlbrecher, J., Konter, J. A., Michels, A., Stuhrmann, H. B. & Zimmer, O. (2007). J. Appl. Cryst. 40, s106–s110. Web of Science CrossRef IUCr Journals
Bunyatova, E. I. (2004). Nucl. Instrum. Methods Phys. Res. Sect. A, 526, 22–27. Web of Science CrossRef CAS
Busfield, J. J. C., Deeprasertkul, C. & Thomas, A. G. (2000). Polymer, 41, 9219–9225. Web of Science CrossRef CAS
Byers, J. T. (2002). Rubber Chem. Technol. 75, 527–548. Web of Science CrossRef CAS
Fermon, C., Glättli, H., van der Grinten, M., Eisenkremer, M. & Pinot, M. (1992). Phys. B Condens. Matter, 180–181, 991–992. CrossRef CAS Web of Science
Genix, A. & Oberdisse, J. (2015). Curr. Opin. Colloid Interface Sci. 20, 293–303. Web of Science CrossRef CAS
Grinten, M. G. D. van der, Glättli, H., Fermon, C., Eisenkremer, M. & Pinot, M. (1995). Nucl. Instrum. Methods Phys. Res. Sect. A, 356, 422–431.
Knop, W., Hirai, M., Schink, H.-J., Stuhrmann, H. B., Wagner, R., Zhao, J., Schärpf, O., Crichton, R. R., Krumpolc, M., Nierhaus, K. H., Rijllart, A. & Niinikoski, T. O. (1992). J. Appl. Cryst. 25, 155–165. CrossRef CAS Web of Science IUCr Journals
Koga, T., Hashimoto, T., Takenaka, M., Aizawa, K., Amino, N., Nakamura, M., Yamaguchi, D. & Koizumi, S. (2008). Macromolecules, 41, 453–464. Web of Science CrossRef CAS
Koga, T., Takenaka, M., Aizawa, K., Nakamura, M. & Hashimoto, T. (2005). Langmuir, 21, 11409–11413. Web of Science CrossRef CAS
Kohgi, M., Ishida, M., Ishikawa, Y., Ishimoto, S., Kanno, Y., Masaike, A., Masuda, Y. & Morimoto, K. (1987). J. Phys. Soc. Jpn, 56, 2681–2688. CrossRef CAS Web of Science
Koizumi, S., Iwase, H., Suzuki, J., Oku, T., Motokawa, R., Sasao, H., Tanaka, H., Yamaguchi, D., Shimizu, H. M. & Hashimoto, T. (2007). J. Appl. Cryst. 40, s474–s479. Web of Science CrossRef CAS IUCr Journals
Kumada, T., Noda, Y., Hashimoto, T. & Koizumi, S. (2009a). Nucl. Instrum. Methods Phys. Sect. Res. A, 606, 669–674. Web of Science CrossRef CAS
Kumada, T., Noda, Y., Hashimoto, T. & Koizumi, S. (2009b). Phys. B Condens. Matter, 404, 2637–2639. Web of Science CrossRef CAS
Kumada, T., Noda, Y., Koizumi, S. & Hashimoto, T. (2010). J. Chem. Phys. 133, 054504. Web of Science CrossRef PubMed
Noda, Y., Kumada, T., Hashimoto, T. & Koizumi, S. (2009). Phys. B Condens. Matter, 404, 2572–2574. Web of Science CrossRef CAS
Noda, Y., Kumada, T., Hashimoto, T. & Koizumi, S. (2011). J. Appl. Cryst. 44, 503–513. Web of Science CrossRef CAS IUCr Journals
Noda, Y., Yamaguchi, D., Hashimoto, T., Shamoto, S., Koizumi, S., Yuasa, T., Tominaga, T. & Sone, T. (2013). Phys. Procedia, 42, 52–57. CrossRef CAS
Porod, G. (1951). Kolloid Z. 124, 83–114. CrossRef CAS Web of Science
Schaefer, D. W., Rieker, T., Agamalian, M., Lin, J. S., Fischer, D., Sukumaran, S., Chen, C., Beaucage, G., Herd, C. & Ivie, J. (2000). J. Appl. Cryst. 33, 587–591. Web of Science CrossRef CAS IUCr Journals
Sears, V. F. (1992). Neutron News, 3(3), 26–37. CrossRef
Shibayama, M., Nagao, M., Okabe, S. & Karino, T. (2005). J. Phys. Soc. Jpn, 74, 2728–2736. Web of Science CrossRef CAS
Shinohara, T., Suzuki, J., Oku, T., Takata, S., Kira, H., Suzuya, K., Aizawa, K., Arai, M., Otomo, T. & Sugiyama, M. (2009). Phys. B Condens. Matter, 404, 2640–2642. Web of Science CrossRef CAS
Shinohara, T., Takata, S., Suzuki, J., Oku, T., Suzuya, K., Aizawa, K., Arai, M., Otomo, T. & Sugiyama, M. (2009). Nucl. Instrum. Methods Phys. Res. Sect. A, 600, 111–113. Web of Science CrossRef CAS
Stapf, S. & Kariyo, S. (2005). Acta Phys. Pol. A, 108, 247–259. CrossRef CAS
Stuhrmann, H. B. (2015). J. Optoelectron. Adv. Mater. 17, 1417–1424. CAS
Stuhrmann, H. B., Schärpf, O., Krumpolc, M., Niinikoski, T. O., Rieubland, M. & Rijllart, A. (1986). Eur. Biophys. J. 14, 1–6. CrossRef CAS PubMed Web of Science
Takata, S., Suzuki, J., Shinohara, T., Oku, T., Tominaga, T., Ohishi, K., Iwase, H., Nakatani, T., Inamura, Y., Ito, T., Suzuya, K., Aizawa, K., Arai, M., Otomo, T. & Sugiyama, M. (2015). JPS Conf. Proc. 8, 036020.
Takenaka, M., Nishitsuji, S., Amino, N., Ishikawa, Y., Yamaguchi, D. & Koizumi, S. (2009). Macromolecules, 42, 308–311. Web of Science CrossRef CAS
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.