1 citations · 1 across the 3 of their papers we have counts for
3 papers
physics.chem-ph2022
MD-GAN with multi-particle input: the machine learning of long-time molecular behavior from short-time MD data
Ryo Kawada, Katsuhiro Endo, Daisuke Yuhara +1
MD-GAN is a machine learning-based method that can evolve part of the system at any time step, accelerating the generation of molecular dynamics data. For the accurate prediction o…
cs.CE2019★ 1 cited
Dataflow programming for the analysis of molecular dynamics with AViS, an analysis and visualization software application
Kai Pua, Daisuke Yuhara, Sho Ayuba +1
The study of molecular dynamics simulations is largely facilitated by analysis and visualization toolsets. However, these toolsets are often designed for specific use cases and tho…
physics.comp-ph2019
Molecular Flow Monte Carlo
Katsuhiro Endo, Daisuke Yuhara, Kenji Yasuoka
In this paper, we suggest a novel sampling method for Monte Carlo molecular simulations. In order to perform efficient sampling of molecular systems, it is advantageous to avoid ex…