463 citations · 478 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2022★ 463 cited
GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations
Zheyong Fan, Yanzhou Wang, Penghua Ying +17
We present our latest advancements of machine-learned potentials (MLPs) based on the neuroevolution potential (NEP) framework introduced in [Fan et al., Phys. Rev. B 104, 104309 (2…
cond-mat.soft2018★ 15 cited
Theoretical analysis of screened many-body electrostatic interactions between charged polarizable particles
Eric B. Lindgren, Chaoyu Quan, Benjamin Stamm
This paper builds on two previous works, Lindgren et al. J. Comp. Phys. 371, 712-731 (2018) and Quan et al. arXiv:1807.05384 (2018), to devise a new method to solve the problem of…