1.5k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Kyoto UniversityJP39 papers
- National Institute for Materials ScienceJP22 papers
- The University of TokyoJP19 papers
- Japan Science and Technology AgencyJP17 papers
- Nagoya UniversityJP11 papers
- Tokyo Institute of TechnologyJP8 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- National Institute of Advanced Industrial Science and TechnologyJP4 papers
- Japan Synchrotron Radiation Research InstituteJP3 papers
- Nagoya Institute of TechnologyJP3 papers
- Seikei UniversityJP3 papers
- Université de LorraineFR3 papers
3 papers · 2 filters
Application of machine learning potentials to predict grain boundary properties in fcc elemental metals
Takayuki Nishiyama, Atsuto Seko, Isao Tanaka
Accurate interatomic potentials are in high demand for large-scale atomistic simulations of materials that are prohibitively expensive by density functional theory (DFT) calculatio…
Facilitating {\it ab initio} configurational sampling of multicomponent solids using an on-lattice neural network model and active learning
Shusuke Kasamatsu, Yuichi Motoyama, Kazuyoshi Yoshimi +3
We propose a scheme for {\it ab initio} configurational sampling in multicomponent crystalline solids using Behler-Parinello type neural network potentials (NNPs) in an unconventio…
Derivative structure enumeration using binary decision diagram
Kohei Shinohara, Atsuto Seko, Takashi Horiyama +3
A derivative structure is a nonequivalent substitutional atomic configuration derived from a given primitive cell. The enumeration of derivative structures plays an essential role…