Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2007-07-26
Physics
Condensed Matter
Disordered Systems and Neural Networks
13 pages, 10 figures, invited paper for the workshop on Nanoscale Order in Amorphous and Partially ordered Solids, Trinity Col
Scientific paper
10.1088/0953-8984/19/45/455202
Ideal models of complex materials must satisfy all available information about the system. Generally, this information consists of experimental data, information implicit to sophisticated interatomic interactions and potentially other {\it a priori} information. By jointly imposing first-principles or tight-binding information in conjunction with experimental data, we have developed a method: Experimentally Constrained Molecular Relaxation (ECMR) that uses {\it all} of the information available. We apply the method to model medium range order in amorphous silicon using Fluctuation Electron microscopy (FEM) data as experimental information. The paracrystalline model of medium range order is examined, and a new model based on voids in amorphous silicon is proposed. Our work suggests that films of amorphous silicon showing medium range order (in FEM experiments) can be accurately represented by a continuous random network model with inhomogeneities consisting of ordered grains and voids dispersed in the network.
Atta-Fynn Raymond
Biswas Parthapratim
Chakraborty Subhasish
Drabold David A.
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