2018
DOI: 10.1107/s1600576717016843
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Evaluation of nano- and mesoscale structural features in composite materials through hierarchical decomposition of the radial distribution function

Abstract: Composite materials possessing both crystalline and amorphous domains, when subjected to X‐ray and neutron scattering, generate diffraction patterns that are often difficult to interpret. One approach is to perform atomistic simulations of a proposed structure, from which the analogous diffraction pattern can be obtained for validation. The structure can be iteratively refined until simulation and experiment agree. The practical drawback to this approach is the significant computational resources required for … Show more

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Cited by 5 publications
(12 citation statements)
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References 51 publications
(51 reference statements)
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“…In order to validate HDRDF 3 (henceforth referred to as HDRDF), as well as showcase the increased accuracy and functionality of this iteration of HDRDF, we apply it to neutron scattering (NS) RDF data of three hardwood derived carbon composites shown in Figure 1. The NS data used for HDRDF model validation was previously gathered and analyzed via MD by McNutt et al., experimentally characterized by Tenhaeff et al., and modeled with a previous version of HDRDF by García‐Negrón et al [13a,17,18] . A systematic analysis of crystalline domain shape, size, and volume fraction was conducted for the three samples, where crystallite size and crystalline volume fraction were varied for right parallelepiped, rod, sphere, and ellipsoid particle shapes and compared for best fit to the neutron scattering RDF data.…”
Section: Resultsmentioning
confidence: 99%
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“…In order to validate HDRDF 3 (henceforth referred to as HDRDF), as well as showcase the increased accuracy and functionality of this iteration of HDRDF, we apply it to neutron scattering (NS) RDF data of three hardwood derived carbon composites shown in Figure 1. The NS data used for HDRDF model validation was previously gathered and analyzed via MD by McNutt et al., experimentally characterized by Tenhaeff et al., and modeled with a previous version of HDRDF by García‐Negrón et al [13a,17,18] . A systematic analysis of crystalline domain shape, size, and volume fraction was conducted for the three samples, where crystallite size and crystalline volume fraction were varied for right parallelepiped, rod, sphere, and ellipsoid particle shapes and compared for best fit to the neutron scattering RDF data.…”
Section: Resultsmentioning
confidence: 99%
“…A detailed and rigorous explanation of the hierarchal decomposition theory is available in works by Oyedele et al. and García‐Negrón et al [17–18] . In this implementation of HDRDF, the following procedure is adopted.…”
Section: Methodsmentioning
confidence: 99%
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“…In other words, it describes how the density varies with distance from a reference particle [ 29 ]. In a blend of various molecules, two different components tend to be compatible with each other if the RDF curve of mixed system is higher than each of their own [ 30 ]. Figure 3 shows the radial distribution functions (RDFs) of different CAB/plasticizer systems and those of their individual components.…”
Section: Resultsmentioning
confidence: 99%