Literature DB >> 21386577

RMCSANS--modelling the inter-particle term of small angle scattering data via the reverse Monte Carlo method.

O Gereben1, L Pusztai, R L McGreevy.   

Abstract

A new reverse Monte Carlo (RMC) method has been developed for creating three-dimensional structures in agreement with small angle scattering data. Extensive tests, using computer generated quasi-experimental data for aggregation processes via constrained RMC and Langevin molecular dynamics, were performed. The software is capable of fitting several consecutive time frames of scattering data, and movie-like visualization of the structure (and its evolution) either during or after the simulation is also possible.

Mesh:

Year:  2010        PMID: 21386577     DOI: 10.1088/0953-8984/22/40/404216

Source DB:  PubMed          Journal:  J Phys Condens Matter        ISSN: 0953-8984            Impact factor:   2.333


  2 in total

1.  Reconstruction of magnetic domain structure using the reverse Monte Carlo method with an extended Fourier image.

Authors:  Maki Tokii; Eiji Kita; Chiharu Mitsumata; Kanta Ono; Hideto Yanagihara; Makoto Matsumoto
Journal:  J Appl Phys       Date:  2015-04-22       Impact factor: 2.546

2.  Computational Reverse-Engineering Analysis for Scattering Experiments (CREASE) with Machine Learning Enhancement to Determine Structure of Nanoparticle Mixtures and Solutions.

Authors:  Christian M Heil; Anvay Patil; Ali Dhinojwala; Arthi Jayaraman
Journal:  ACS Cent Sci       Date:  2022-07-01       Impact factor: 18.728

  2 in total

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