HOME > 2DMAT

2DMAT

2DMAT is a framework designed to apply search algorithms to forward problem solvers to find optimal solutions. Users can define the forward problem solvers themselves, and as a standard solver, there is software available for analyzing experimental data aimed at two-dimensional material structure analysis. The implemented search algorithms include the Nelder-Mead method, grid-based search, Bayesian optimization, replica exchange Monte Carlo, and population annealing Monte Carlo methods.

基本情報

公式サイト	https://www.pasums.issp.u-tokyo.ac.jp/2dmat/
公開度	★★★
マニュアルページ	https://www.pasums.issp.u-tokyo.ac.jp/2dmat/doc/manual
ダウンロードページ	https://github.com/issp-center-dev/2DMAT/releases
ライセンス	GPL v3
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) Harumichi Iwamoto (Department of Applied Mathematics and Physics, Tottori University) Takeo Hoshi (Department of Applied Mathematics and Physics, Tottori University)
対応OS・利用環境	Windows, MacOS, Linux
関連論文	paper on 2DMAT: Y. Motoyama et al., “Data-analysis software framework 2DMAT and<\span> its application to experimental measurements for two-dimensional material structures”, Comp. Phys. Comm., 280, 108465 (2022).
関連サイト	MateriApps: https://ma.issp.u-tokyo.ac.jp/en/app/4999