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fullrmc

Reverse Monte Carlo (RMC) is probably best known for its applications in condensed matter physics and solid state chemistry. fullrmc which stands for FUndamental Library Language for Reverse Monte Carlo is different than traditional RMC but a stochastic modelling method to solve an inverse problem whereby an atomic/molecular model is adjusted until its atoms position havei the greatest consistency with a set of experimental data.

homepage: https://bachiraoun.github.io/fullrmc

version versionsuffix toolchain
3.2.0 -Python-2.7.14 intel/2018a

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