1 citations · 2 across the 2 of their papers we have counts for
2 papers
math.NA2022★ 1 cited
A stochastic Hamiltonian formulation applied to dissipative particle dynamics
Linyu Peng, Noriyoshi Arai, Kenji Yasuoka
In this paper, a stochastic Hamiltonian formulation (SHF) is proposed and applied to dissipative particle dynamics (DPD) simulations. As an extension of Hamiltonian dynamics to sto…
physics.chem-ph2022★ 1 cited
Prediction of transport property via machine learning molecular movements
Ikki Yasuda, Yusei Kobayashi, Katsuhiro Endo +5
Molecular dynamics (MD) simulations are increasingly being combined with machine learning (ML) to predict material properties. The molecular configurations obtained from MD are rep…