[PB] Poster B

[B-112P] Auto-WHATMD : Automated Wasserstein-based High-dimensional Analysis of
Trajectories from Molecular Dynamics

○Sosuke Asano¹, Ikki Yasuda^2,3, Katsuhiro Endo⁴, Yoshinori Hirano¹, Kenji Yasuoka³ (1. Graduate School of Science and Technology, Keio University, 2. University of Copenhagen, 3. Keio University, 4. National Institute of Advanced Industrial Science and Technology)

Keywords:

Deep Learning,Molecular Dynamics,Global Optimization,Feature Selection,Protein