Reverse Monte Carlo modelling

By R. Mcgreevy. 2001

729 citations recorded by the source corpus.

Subfields: Ceramics and Composites, Geophysics, Materials Chemistry

View Paper: https://www.semanticscholar.org/paper/415e086b63404fc73e87d432ab7e000e98bcd94b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ceramics and Composites

1. Yongqiang Q. Cheng
2. Evan Ma
3. M. J. Qomi
4. Weihua Wang
5. Stephen R. Williams
6. C. Royall

In Geophysics

1. Yongqiang Q. Cheng
2. Evan Ma
3. M. J. Qomi

In Materials Chemistry

1. Evan Ma
2. Yongqiang Q. Cheng
3. Paulo J. M. Monteiro
4. Jiaqi Li
5. Kimberly E. Kurtis
6. M. J. Qomi
7. D. Marchon
8. Guoqing Geng

Citations in the corpus

• Atomic-level structure and structure–property relationship in metallic glasses (2011, methodology): “If v2 < v(2)0, the move is accepted; if v2 > v(2)0, it is accepted with probability exp v(2)0 v2 =2 (Metropolis algorithm) [129].”
• Advances in characterizing and understanding the microstructure of cementitious materials (2019, background): “…to construct realistic me-sostructure of nanogranular materials, namely grand canonical Monte Carlo (GCMC) [304], hybrid reverse Monte Carlo [305,306] and advanced molecular dynamics packing schemes such as incremental stress marching approach [307] as well as a wide-range of learning-based…”