2DMAT

公開度：3 ★★★
ドキュメント充実度：2 ★★☆

2DMAT is a framework for applying a search algorithm to a direct problem solver to find the optimal solution. In version 1.0, for solving a direct problem, 2DMAT offers the wrapper of the solver for the total-reflection high-energy positron diffraction (TRHEPD) experiment. As algorithms, it offers the Nelder-Mead method, the grid search method, the Bayesian optimization method, and the replica exchange Monte Carlo method. Users can define original direct problem solvers or the search algorithms.

基本情報
Last Update:2024/07/18

公式サイト

https://www.pasums.issp.u-tokyo.ac.jp/2dmat/en/

ライセンス

GNU General Public License version 3（GPL v3)

利用環境	Required python >= 3.6 numpy >= 1.17 toml Optional scipy (for `minsearch` algorithm) mpi4py (for `exchange` algorithm) physbo >= 0.3 (for `bayes` algorithm)
開発者	Yuichi Motoyama (The Institute for Solid State Physics, The University of Tokyo) Kazuyoshi Yoshimi (The Institute for Solid State Physics, The University of Tokyo) Takeo Hoshi (Department of Applied Mathematics and Physics, Tottori University)
手法	Nelder-Mead method grid search method Bayesian optimization method replica exchange Monte Carlo method
並列化対応	MPI
関連アプリ	PHYSBO (optimization tools for PHYsics based on Bayesian Optimization )
関連キーワード	Bayesian Optimization Monte Carlo
文献	T. Hanada, H. Daimon, and S. Ino, Phys. Rev. B 51, 13320 (1995). K. Tanaka, T. Hoshi, I. Mochizuki, T. Hanada, A. Ichimiya, and T. Hyodo, Acta. Phys. Pol. A 137, 188 (2020). K. Tanaka, I. Mochizuki, T. Hanada, A. Ichimiya, T. Hyodo, and T. Hoshi, JJAP Conf. Series, in press, arXiv:2002.12165. K. Hukushima and K. Nemoto, J. Phys. Soc. Japan, 65, 1604 (1996). R. Swendsen and J. Wang, Phys. Rev. Lett. 57, 2607 (1986). .
その他	Related sites MatDaCs: https://mat-dacs.dxmt.mext.go.jp/en/list/738

基本情報 Last Update:2024/07/18

公式サイト

ライセンス

基本情報
Last Update:2024/07/18