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Wilhelm and Else Heraeus-Foundation

Reverse Monte Carlo (RMC) modeling has emerged as a powerful computational tool for reconstructing atomic configurations from experimental data, including X-ray and neutron scattering. By iteratively refining atomic positions to match measured structure factors, RMC provides insights into short- and intermediate-range order, structural motifs, and hidden correlations. The method has successfully been applied to liquids, covalent and metallic lasses, and disordered crystals, advancing our understanding of many complex structural henomena.

Angewandte Physik: Röntgen- und Synchrotronstrahlung, Kristallographie ,    Computerphysik und Numerische Simulation