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Article

Structural Study of Silica Coating Thin Layers Prepared from Perhydropolysilazane: Substrate Dependence and Water Penetration Structure

1
ART KAGAKU Co., Ltd., 3135-20 Muramatsu, Tokai, Ibaraki 319-1112, Japan
2
Comprehensive Research Organization for Science and Society (CROSS), 162-1 Shirakata, Tokai, Ibaraki 319-1106, Japan
*
Author to whom correspondence should be addressed.
Coatings 2016, 6(4), 64; https://doi.org/10.3390/coatings6040064
Submission received: 18 September 2016 / Revised: 10 November 2016 / Accepted: 16 November 2016 / Published: 19 November 2016
(This article belongs to the Special Issue Advances in Coatings Characterization)

Abstract

:
The structure of perhydropolysilazane (PHPS)-derived silica (PDS) waterproof thin layers synthesized by curing at 60 °C for 1 h and allowed to stand for 48 h at 20 °C on various kinds of substrates was studied. Neutron reflectivity (NR) analysis suggested that uniform PDS thin layers were synthesized on the substrates, and the density of the layers varied depending on the type of substrate. Additionally, since the change in PDS density is correlated with the pKa value of the OH group on the substrate, it can be suggested that the acidity of the substrate would be one of the main factors determining the density of the coated PDS thin layers. For the water penetration structure study, NR analysis revealed that the depth of water penetration into the PDS layers was below 500 Å, and the hydration number of the SiO2 molecule was estimated to be 8.0–9.0. From these results, we concluded that water penetration occurred by the formation of water-pool structures in the PDS layers, and the randomly formed nano-air holes lead to a reduction in the probability of water penetration into the deep regions of the PDS layers.

1. Introduction

Silicon-based protective coatings have been widely accepted and employed in many applications such as semiconductor devices, tablewares, and metallic substrates. Inorganic precursors, sush as perhydropolysilazane (PHPS, Figure 1), are one of the more promising materials for protection of these materials because inorganic precursors can be easily used to synthesize high-quality thin SiO2 layers by hydrolysis or oxidation [1,2]. In fact, PHPS was applied in transparent gas barrier materials [3], thin-film light addressable potentiometric sensors [4], and waterproofing layer of metal magnetic material [5]. The major concern with using silicon-based materials is that the formation behavior of SiO2 layers may change depending on the nature of the surface or condition of the PHPS-protected material. Therefore, many studies have focused on silicon-based materials and studied their SiO2 network formation mechanisms [6,7,8,9].
Bauer et al. [10] studied the influence of temperature, relative humidity, and relative humidity of an ammonia-containing atmosphere on the curing time of PHPS. Their studies revealed that the curing reaction relies mainly on the activation of Si–H and Si–N bonds by OH group containing substances such as water, which promotes subsequent cross-linking of intermediate silanols via condensation reactions. Akutsu et al. [5] studied the effect of synthesized SiO2 layer thickness on the density of SiO2 layers, and their studies showed that the density of SiO2 layers depends on the efficiency of cross-linking reaction between silazane oligomers in coated PHPS layers. Nevertheless, further research on the nano-structure and detailed synthesis mechanisms for the preparation of SiO2 layers is important for the development of silicon-based coating materials.
A variety of techniques, such as Fourier-transform infrared spectroscopy (FT-IR) [8,11], X-ray photoelectron spectroscopy (XPS) [8,11], and neutron reflectivity (NR) [5], have been used to study the structure of PHPS-derived silica (PDS) thin layers. Since the thickness, density, and roughness of the thin layer samples can be determined by NR techniques [12,13], here we use NR techniques to elucidate the nano-structure of PDS thin layers. In this study, we prepared the PDS thin layer samples on different kinds of substrate (Si-, Al2O3-, MgO-, and polyvinyl alcohol (PVA)-substrate, which are target materials for PHPS-based protective coatings), and the influence of substrate type on PDS nano-structure was investigated. Additionally, since neutron scattering is especially sensitive to water (hydrogen atom), the water penetration into the PDS thin layers was also analyzed by the NR technique. From the analyses, we elucidated the waterproof mechanism of PDS thin layers in terms of the nano-scale structure.

2. Materials and Methods

2.1. Materials

Silicon (diameter = 5.08 cm, thickness = 0.3 mm), sapphire(Al2O3, diameter = 5.08 cm, thickness = 0.43 mm), and magnesium oxide (10 mm × 10 mm, thickness = 0.5 mm) wafers were supplied by SEMITEC Co. Ltd. (Tokyo, Japan), MKT Co. Ltd. (Kanagawa, Japan), and Crystal Base Co. Ltd. (Osaka, Japan), respectively. PHPS polymer (AQUAMICA, Product Code: NP110-10, amine catalyst type), PVA, and xylene were supplied by AZ Electronic Materials Co. Ltd. (Tokyo, Japan), Wako Pure Chemical Industries Ltd. (Tokyo, Japan), Kanto Chemical Co. Inc. (Tokyo, Japan), respectively. These compounds were used without further purification.

2.2. Sample Preparation

Before synthesis of thin PDS layer samples, the PVA substrate was prepared. Using a spin-coater (MS-A150, Mikasa Co. Ltd., Tokyo, Japan), the thin PVA layer was coated on the silicon wafer by spin coating 2 % of PVA/water solution at a speed of 4000 rpm, and then, the sample was heated at 60 °C for 1 h. The resulting PVA/Si substrate was used as the PVA substrate in this study.
The thin PDS layers were prepared on the silicon, sapphire, and PVA substrates by spin coating 5 % of PHPS/xylene solution at a speed of 6000 rpm. In the case of the magnesium oxide substrate, the PDS layer was prepared by hand-painting of 5 % of PHPS/xylene solution because the PHPS solution was repelled by the surface of the magnesium oxide substrate so no PHPS solution remained on it. Subsequently, the samples were cured at 60 °C for 1 h and allowed to stand for 48 h at 20 °C. The samples were stored in a box under low-humidity and dust-free conditions for 7 days at room temperature.
For the water penetration analysis, thin and thick PDS layers were prepared on the silicon wafers following the same procedures described above, with the exception of the spin coating speeds being different (thin layer: 6000 rpm; thick layer: 3000 rpm). The synthesized PDS layer samples were submerged in purified water (Aqua Purificata, SEIKI Chemical Industrial Co. Ltd., Tokyo, Japan) for 7 days at room temperature. Before the NR measurements, the wet samples were taken out of the solution and air-dried at 20 °C for 4 h.

2.3. FT-IR Measurements

The samples for the FT-IR spectroscopic analysis were prepared by removing a section from each sample prepared for the NR measurements.
The FT-IR spectra were measured with an FT/IR-4100ST (Nihon Bunko Co. Ltd., Tokyo, Japan) system equipped with an attenuated total reflectance (ATR) unit (PRO670H-S, Nihon Bunko Co. Ltd., Tokyo, Japan). The wavenumber range 700–4000 cm−1, and the resolution was 4 cm−1. Each spectrum was determined from an average of 64 scans, and all the measurements were performed at room temperature. It must be noted that, because the refractive index of substrates (Si, Al2O3, and MgO) are high towards ZnSe ATR prism, the total reflection phenomena cannot be observed and ART correction (program) cannot work exactly in the samples. Therefore, transmittance in the lower wavenumber region was not obtained correctly due to the above reason.

2.4. Neutron Reflectivity Measurements and Data Analysis

The NR measurements were performed on a BL17 SHARAKU reflectometer installed at the Materials and Life Science Experimental Facility (MLF) in J-PARC [14,15]. The incident beam power of the proton accelerator was 200 kW for all the measurements. Pulsed neutron beams were generated using a mercury target at 25 Hz, and the NR data were measured using the time-of-flight (TOF) technique. The neutron-source to sample distance was 15.5 m, and the sample to 3He gas point detector distance was 2.5 m. The wavelength (λ) range of the incident neutron beam was tuned to be approximately λ = 2.2–8.8 Å using disk choppers. The covered Qz range was Qz = 0.008–0.09 Å–1, where Qz = (4π/λ)sinθ (here, θ represents the incident angle). The incident angle for PDS/Si, PDS/Al2O3, PDS/PVA/Si, and wet-PDS/Si samples varied from 0.3° to 0.9°, and that for the PDS/MgO sample was 0.4° (because high Qz region measurement is difficult under these sample conditions). The total exposure times for the measurements were 1 h for PDS/Si, 1.5 h for PDS/Al2O3, 3.3 h for PDS/PVA/Si, 2 h for PDS/MgO, and 4 h for wet-PDS/Si samples, respectively. 10 mm (for PDS/MgO) and 25 mm (other samples) beam footprints were maintained on the sample surfaces by using six kinds of incident slits. The samples were placed in an aluminum sample holder on the sample stage, which was installed at the center position of the sample rotator. All the measurements were performed at room temperature.
The data reduction, normalization, and subtraction were performed using a program installed in BL17 SHARAKU that was developed for the TOF data. The Motofit program [16] was used to fit the NR profiles using the least-squares approach to minimize deviations in the fit; the thickness, scattering length density (SLD) [5], and Gaussian roughness were evaluated by the program.

3. Results and Discussion

3.1. FT-IR Analysis for Thin PDS Layer Samples

To determine the composition of the synthesized PDS layers on the different kinds of substrate, the molecular structures of the PDS layers were analyzed by FT-IR analysis. Although it seems difficult to determine the origin of the absorption peak in lower wavenumber region, here we discuss the possibility of explaining the observed absorption peaks.
Figure 2 shows the FT-IR spectra of the PDS thin layer samples in the wavenumber range of 700−4000 cm−1. Since the FT-IR signal of PDS/MgO sample was weak compared with those of the other samples, the vertical axis scale of the PDS/MgO sample data was enlarged five times to facilitate data comparison. Absorption peaks for N-H (3400 cm−1) and Si-H (2200 cm−1), which are attributable to the unreacted PHPS molecule [17,18], were not observed in the spectra. These results indicate that the starting PHPS material was mostly consumed during the curing reaction. However, a broad absorption peak around 880 cm−1, which would be attributable to the Si–N–Si band, was observed. Thus, it implies that the synthesized PDS layers would contain a negligible amount of Si–N–Si bonds.
In addition, the observed FT-IR spectra showed large absorption peaks in the region of 1000–1250 cm−1. These absorption peaks were mainly due to Si-O asymmetric stretching transverse optical (TO) and longitudinal optical (LO) modes [6,19]. Although the largest peak at around 1110 cm−1 can be assigned Si–O(–Si) stretching [20,21], the position of the largest peak was changed to a lower wavenumber for the PDS/Al2O3 and PDS/MgO samples. K.M.K. Yu et al. [21] studied the FT-IR spectra of silica-alumina composite materials and reported that the presence of Al3+ as the second neighbor of the Si–O results in the Si–O asymmetric stretching peak being shifted towards a lower wavenumber. Similar Si–O peak shifts were investigated in silica-magnesium oxide composite materials [22]. Therefore, one explanation for the peak position changes is that the tiny amount of Si–O–Al and Si–O–Mg bonds formed in PDS/substrate interface may read the peak position change of Si–O asymmetric stretching. Incidentally, a well-defined O–H stretching absorption peak for water was not observed in any of the data, including the samples of the water penetration experiments. Since all the samples were stored at ambient temperature and pressure for two weeks to decrease their radioactivity, most of the water molecules vaporated during that time. In conclusion, these results suggested that the synthesized PDS thin layers primarily consisted of SiO2 and similar compounds, as determined from the FT-IR measurements.

3.2. Neutron Reflectivity Analysis for PDS Thin Layer Samples

The nano-structure information for the PDS thin layers on the different kinds of substrates is especially helpful in understanding the influence of the substrate on the synthesis of PDS thin layers. Thus, the nano-structure, thickness, density, and roughness of the PDS thin layers on the different substrates were examined by NR analysis. Note that since the low level background data was obtained in NR measurements, we believe that the PDS layer samples do not contain many hydrogen atoms because the incoherent scattering of hydrogen atom produces a high background in the NR experiment.
Figure 3 shows the NR profiles of the air-solid reflectivity data for the PDS thin layer samples. The period of the PDS/MgO thin layer data was clearly shorter those of the other data. This indicates that the thickness of the PDS/MgO thin layer is much greater than for the other samples. Because the PDS/MgO thin layer sample was prepared by hand-painting, its thickness could not be equalized with the others. Figure 3 also shows the fitting results of these data using the Motofit reflectometry package. Because a naturally oxidized SiO2 thin layer was present on the surfaces of the Si substrates, a two-layer model (PDS/SiO2(oxidized)/Si) and a three layer model (PDS/PVA/SiO2(oxidized)/Si) were employed to fit the obtained NR profiles. A single layer model was employed in the case of PDS/Al2O3 and PDS/MgO thin layer samples. The symbols represent the observed NR profiles, while the solid lines represent the calculated NR profiles determined from the structural models. The theoretical reflectivity profiles reproduced the experimental NR profiles over the Qz-range. Table 1 shows the structural parameters obtained from this analysis. The structural parameters of the PDS/Fe/Si sample, that is the results of our previous work [5], are also shown in Table 1 to highlight the influence of the substrate on PDS nano-structure. The thickness (t) and scattering length density (SLD, ρ) values of the PDS thin layers were estimated to be 461 Å and 2.10 × 10−6 Å−2 for PDS/Si, 436 Å and 1.86 × 10−6 Å−2 for PDS/Al2O3, 1809 Å and 1.00 × 10−6 Å−2 for PDS/MgO, and 430 Å and 1.99 × 10−6 Å−2 for PDS/PVA/Si samples, respectively. As mentioned above, the PDS/MgO sample was thicker than the other samples. Moreover, although the thickness of the PDS thin layers were similar except for that of the PDS/MgO sample, the SLD value for the PDS thin layer can be varied by changing the kind of substrate. Since the ρ value of natural SiO2 is 3.47 × 10−6 Å−2 [23], the estimated ρ values indicated that the density of the synthesized PDS thin layers was lower than either that of natural SiO2 or that of the unreacted PHPS (with a ρ value of 0.40 × 10−6 Å−2) remaining in the PDS thin layer. It can be concluded that this change in the ρ value reflected the change in the density of the PDS layer because FT-IR results indicated that no unreacted PHPS molecules remained in the PDS layers. The results also suggest that the densities of the synthesized PDS thin layers were uniform in the depth direction, and the low SLD values of the PDS layer as SiO2 may be attributed to the formation of nano-air holes inside the PDS layer.
To understand the influence of substrate on PDS nano-structure, we considered the relationship between the physical properties of the substrates and the densities of the synthesized PDS thin layers.
As shown in Table 1, the order of PDS thin layer density is PDS/Si > PDS/PVA/Si > PDS/Al2O3 > PDS/Fe/Si > PDS/MgO. Since the PHPS molecule interacts with the OH groups of the substrates and bind the substrate surface [5,24], the acid dissociation constant (pKa) was used as the physical property parameter for the substrates. According to references [25,26,27,28], the pKa values of the substrate-OH groups are in the order Si–OH (7.1) < Al–OH (9.9) < PVA–OH (10.7) < Fe–OH (11.5) < Mg–OH (15.5) (note that the pKa value of PVA-OH is relative to the bulk state). The plot of the substrate-OH pKa values vs. the obtained SLD values of PDS thin layer is shown in Figure 4. A linear correlation between the substrate-OH pKa values and the obtained SLD values was observed. Lower pKa values indicate that the proton of the substrate-OH group is more dissociable. Accordingly, it can be assumed that substrates having lower pKa values can interact more easily with PHPS molecules (or exchange between PHPS molecules and OH protons) on the substrate-PHPS interface. That is, the MgO substrate, which has slightly dissociable substrate-OH groups, formed low-density PHPS–O–Mg structures on the surface. As a result, the density of the PDS thin layer would be lower compared with the other samples. However, because the abundance of substrate-OH groups on the substrate surface would also correlate with the resulting density of the synthesized PDS thin layer, it is difficult to conclude that the pKa value of the substrate-OH group is the fundamental reason for the changes in the density of the synthesized PDS thin layer. At least, it is clear that the pKa value of the substrate-OH group is considered one of the main factors that determine the density of the resulting PDS thin layer in this PDS layer synthesis method.

3.3. Investigation of Water Penetration Structure of PDS Thin Layer Sample

To understand the waterproof behavior of the PDS thin layers, the depth and abundance of water penetration into the PDS thin layers were analyzed using NR analysis.
Figure 5a shows the NR profiles and fitting data for the thin and thick PDS layer samples that were submerged in deionized water for 7 days. The NR profiles of the wet samples were drastically different from those of dry ones (PDS/Si thin layer sample, Figure 3), indicating that a large amount of water penetrated into the PDS layer. Based on this fact, a four-layer model: water-rich PDS/water-poor PDS/no-water PDS/SiO2(oxidized)/Si, was employed to fit the obtained NR profiles. The symbols represent the observed NR profiles, while the solid lines represent the calculated NR profiles determined from the structural models. The theoretical reflectivity profiles reproduced the experimental NR profiles over the Qz-range. Table 2 shows the structural parameters obtained from this analysis. In the case of the thin PDS layer sample, the t and ρ values were estimated to be 73.9 Å and 0.18 × 10−6 Å−2 for water-rich PDS, 261 Å and 0.31 × 10−6 Å−2 for water-middle PDS, 41.5 Å and 1.12 × 10−6 Å−2 for water-poor PDS, 21.9 Å and 3.28 × 10−6 Å−2 for the SiO2(oxidized) layer, respectively. On the other hand, in the case of the thick PDS layer sample, the t and ρ values were estimated to be 43.4 Å and 0.09 × 10−6 Å−2 for water-rich PDS, 386 Å and 0.34 × 10−6 Å−2 for water-middle PDS, 259 Å and 2.29 × 10−6 Å−2 for water-poor PDS, 5.8 Å and 3.22 × 10−6 Å−2 for the SiO2(oxidized) layer, respectively. Since the SLD value of H2O is -0.56 [29] and lower SLD values indicate penetration of H2O molecules into the PDS layers, the obtained low SLD values, 0.09, 0.18, 0.31, 0.34, and 1.12, clearly indicate that a large amount of water was present in the layers. Furthermore, the SLD value of the water-poor layer of the thick PDS layer sample was almost the same as that of the dry PDS layer sample [5]. It is clear that water cannot penetrate deeply into the PDS layer. Figure 5b shows the plot of the depth from the air/solid interface vs. SLD values of the wet samples (depth profile) calculated from the obtained structural parameters. The depth profiles drawn in Figure 5b indicate that the extent of water penetration decreases with increasing the depth from the surface, and a large amount of water was absorbed around the surface of the PDS layers. To summarize the results, it can be concluded that the PDS thin layers having thickness over 500 Å could be applied as waterproof thin layers under these experimental conditions.
Since the SLD values of the PDS layers decrease with increasing the degree of water penetration into the layer quantitatively, we evaluated the abundance of water penetrated into the PDS layer.
The hydration number of water molecules (nw) in the PDS layer is defined as follows [30]:
ρexp = (bPDS + nwbw)/V
where ρexp, bPDS, bw, and V are the SLD values for the PDS layers obtained by NR analysis, the neutron scattering length of PDS (as SiO2), the neutron scattering length of H2O, and the mean molecular volume of PDS, respectively. Since the values of bPDS and bw are constant and ρexp and V can be obtained from the NR analysis data, the hydration number of water molecules can be estimated. The hydration numbers of the water-rich, water-middle, and water-poor layers in the thin PDS layer sample were estimated to be 8.6, 8.0, and 4.4, respectively. On the other hand, in the case of the thick PDS layer sample, water did not penetrate into the water-poor layer, and the hydration numbers of the water-rich and water-middle layers were estimated to be 9.0 and 8.0, respectively. Because the hydration number of 8.0–9.0 is higher for the hydrophobic SiO2 molecule, the water penetration into the PDS layers was not due to hydration for SiO2 molecules, but to the formation of water-pool structures in the PDS layers (this image is shown in Figure 6). In fact, the SiO2 density of the PDS layer was estimated to be 1.33 g/cm3 in the PDS/Si sample, indicating that the density of the PDS layer is low compared to that of the natural SiO2 (2.2 g/cm3). Therefore, it is reasonable to suppose that the PDS layer has nano-air holes randomly distributed within the layer, and that the holes are transformed into water pool structures by water penetration into the PDS layer. The SEM images of the PDS layer samples [3,31] prove clearly that nano-air holes are randomly formed at the surface as well as within the PDS layers. Hence, it can be considered that the randomly formed nano-air holes lead to reduced probability of water penetration into the deep PDS layer regions.

4. Conclusions

In this study, the structures of PHPS-derived silica (PDS) layers synthesized using perhydropolysilazane (PHPS) on various kinds of substrates were studied using Fourier transform infrared spectroscopy (FT-IR) and neutron reflectivity (NR) analysis. FT-IR data suggested that there was no starting PHPS material in the synthesized PDS layers, and the major molecular structure of the PDS layer can be represented as SiO2. The NR analysis revealed that the densities of the synthesized PDS thin layers are uniform in the depth direction, and the densities of the PDS layers are lower than natural SiO2 Therefore, it can be considered that the PDS thin layers form nano-air holes at the surface as well as within the PDS layers. In addition, the densities of PDS layers varied by changing the kind of substrate, and there was linear relationship between the density of PDS layer and the pKa value of the substrate-OH group. These results indicate that the acidity of the substrate is one of the most important factors for determination of the density of the synthesized PDS layer. The NR analysis of water penetration behavior into the PDS thin layers indicated that the hydration number of water was estimated to be 8.0–9.0, and the depth of water penetration into the PDS layers was below 500 Å after 7 days of submersion in water. It can be concluded that water penetrated into the nano-air holes leading to the formation of water-pool structures in the PDS layers. Because the thickness of the actual PDS layer being applied as the waterproofing layer is about 1 μm, water molecules cannot penetrate into the protected material under actual use conditions.

Acknowledgments

We thank K. Soyama (JAEA, J-PARC Center) and S. Kasai (CROSS) for their support for the neutron reflectivity experiments. The neutron reflectivity experiments were conducted at the BL17 SHARAKU of the Materials and Life Science Experimental Facility (MLF) in Japan Proton Accelerator Research Complex (J-PARC), Tokai, Japan (Proposal No.2014B0055). FT-IR measurements were conducted at the User Experiment Preparation Lab III that is provided by CROSS.

Author Contributions

Tomotake Niizeki carried out the experiments and designed this study. Sachiko Nagayama carried out the experiments. Yoshio Hasegawa carried out, conceived, and designed this study. Noboru Miyata and Masae Sahawa carried out the neutron reflectivity experiments. Kazuhiro Akutsu carried out the experiments, analyzed the neutron reflectivity data, and wrote the original manuscript. All authors contributed to the discussion of the results and helped to revise the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Composition formula (a) and structural formula (b) of perhydropolysilazane (PHPS).
Figure 1. Composition formula (a) and structural formula (b) of perhydropolysilazane (PHPS).
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Figure 2. Fourier-transform infrared spectroscopy (FT-IR) attenuated total reflectance (ATR) spectra (mean) of the thin PHPS-derived silica (PDS) layer samples. The vertical axis scale of PDS/MgO data was enlarged to five times its original size.
Figure 2. Fourier-transform infrared spectroscopy (FT-IR) attenuated total reflectance (ATR) spectra (mean) of the thin PHPS-derived silica (PDS) layer samples. The vertical axis scale of PDS/MgO data was enlarged to five times its original size.
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Figure 3. Neutron reflectivity profiles of the PDS thin layer samples. The circles represent the experimental data, and the solid lines represent the best-fit calculated neutron reflectivity (NR) profiles.
Figure 3. Neutron reflectivity profiles of the PDS thin layer samples. The circles represent the experimental data, and the solid lines represent the best-fit calculated neutron reflectivity (NR) profiles.
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Figure 4. (a) Plot of pKa values of the substrate vs. scattering length density (SLD) values (or density of SiO2) of the PDS thin layer. The PDS layer density as SiO2 was calculated using the estimation method in reference 5. (b) Image of chemical bond formation between the substrate-OH group and the PHPS polymer.
Figure 4. (a) Plot of pKa values of the substrate vs. scattering length density (SLD) values (or density of SiO2) of the PDS thin layer. The PDS layer density as SiO2 was calculated using the estimation method in reference 5. (b) Image of chemical bond formation between the substrate-OH group and the PHPS polymer.
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Figure 5. (a) Neutron reflectivity profiles of the thin and thick PDS layer samples in wet condition. The circles represent the experimental data, and the solid lines represent the best-fit calculated NR profiles. (b) Depth profiles of the PDS layer samples calculated by obtained structural parameters.
Figure 5. (a) Neutron reflectivity profiles of the thin and thick PDS layer samples in wet condition. The circles represent the experimental data, and the solid lines represent the best-fit calculated NR profiles. (b) Depth profiles of the PDS layer samples calculated by obtained structural parameters.
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Figure 6. Illustration of the formation of water-pool structures in PDS thin layer samples in wet condition. Orange layer, white particles, and blue particles are PDS thin layer, nano-air hole, and water pool structures, respectively.
Figure 6. Illustration of the formation of water-pool structures in PDS thin layer samples in wet condition. Orange layer, white particles, and blue particles are PDS thin layer, nano-air hole, and water pool structures, respectively.
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Table 1. Best-fit parameters for the reflectivity model data shown in Figure 3 and reference 5.
Table 1. Best-fit parameters for the reflectivity model data shown in Figure 3 and reference 5.
SampleParameterLayer 1Layer 2Layer 3Layer 4
PDS/Si PDS layerSiO2 layerSi substrate
t (Å)4617.7
ρ (× 10−6 Å−2)2.103.072.07
σ (Å)3.920.74.7
PDS/Al2O3 PDS layerAl2O3 substrate
t (Å)436
ρ (× 10−6 Å−2)1.865.74
σ (Å)22.91.1
PDS/MgO PDS layerMgO substrate
t (Å)1809
ρ (× 10−6 Å−2)1.005.78
σ (Å)2.01.6
PDS/PVA/Si PDS layerPVA layerSiO2 layerSi substrate
t (Å)43035516.9
ρ (× 10−6 Å−2)1.990.623.342.07
σ (Å)4.613.015.01.0
PDS/Fe/Si [5] PDS layerIron oxide layerFe layerSiO2 layer
t (Å)4552.2491.825.1
ρ (× 10−6 Å−2)1.416.738.341.71
σ (Å)17.51.91.92.1
Thickness: t (Å), scattering length density (SLD): ρ (× 10−6 Å−2), surface or interface roughness: σ (Å).
Table 2. Best-fit parameters for the reflectivity model data shown in Figure 5.
Table 2. Best-fit parameters for the reflectivity model data shown in Figure 5.
SampleParameterWater-Rich PDSWater-Middle PDSWater-Poor PDSSiO2 LayerSi Substrate
thin PDS/Sit (Å)73.926141.521.9
ρ (× 10−6 Å−2)0.180.311.123.282.01
σ (Å)38.137.014.39.01.7
thick PDS/Sit (Å)43.43862595.8
ρ (× 10−6 Å−2)0.090.342.293.222.07
σ (Å)14.641.160.314.82.56
Thickness: t (Å), scattering length density (SLD): ρ (×10−6 Å−2), surface or interface roughness: σ (Å).

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Niizeki, T.; Nagayama, S.; Hasegawa, Y.; Miyata, N.; Sahara, M.; Akutsu, K. Structural Study of Silica Coating Thin Layers Prepared from Perhydropolysilazane: Substrate Dependence and Water Penetration Structure. Coatings 2016, 6, 64. https://doi.org/10.3390/coatings6040064

AMA Style

Niizeki T, Nagayama S, Hasegawa Y, Miyata N, Sahara M, Akutsu K. Structural Study of Silica Coating Thin Layers Prepared from Perhydropolysilazane: Substrate Dependence and Water Penetration Structure. Coatings. 2016; 6(4):64. https://doi.org/10.3390/coatings6040064

Chicago/Turabian Style

Niizeki, Tomotake, Sachiko Nagayama, Yoshio Hasegawa, Noboru Miyata, Masae Sahara, and Kazuhiro Akutsu. 2016. "Structural Study of Silica Coating Thin Layers Prepared from Perhydropolysilazane: Substrate Dependence and Water Penetration Structure" Coatings 6, no. 4: 64. https://doi.org/10.3390/coatings6040064

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