Learning reduced kinetic Monte Carlo models of complex chemistry from molecular dynamics

@article{Yang2017LearningRK,
  title={Learning reduced kinetic Monte Carlo models of complex chemistry from molecular dynamics},
  author={Qian Yang and Carlos A. Sing-Long and Evan J Reed},
  journal={Chemical Science},
  year={2017},
  volume={8},
  pages={5781 - 5796}
}
We propose a novel statistical learning framework for automatically and efficiently building reduced kinetic Monte Carlo (KMC) models of large-scale elementary reaction networks from data generated by a single or few molecular dynamics simulations (MD). 
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