← カタログに戻る

2DMAT

issp-center-dev / 2DMAT

量子ビーム回折実験データから二次元物質の構造を決定する解析ソフトウェア(ODAT-SE の前身)

機械学習その他PythonGPL-3.0
5 8 1 未解決 issue / PR更新: 2026-10-04

概要

(説明は未登録です)

典型的な利用シーン

Quick Start

このソフトウェアには Quickstart / チュートリアルが用意されています。

README

2DMAT -- Data-analysis software of quantum beam diffraction experiments for 2D material structure

2DMAT is a framework for applying a search algorithm to a direct problem solver to find the optimal solution. As the standard direct problem solver, the experimental data analysis software for two-dimensional material structure analysis is prepared. The direct problem solver gives the deviation between the experimental data and the calculated data obtained under the given parameters such as atomic positions as a loss function used in the inverse problem. The optimal parameters are estimated by minimizing the loss function using a search algorithm. For further use, the original direct problem solver or the search algorithm can be defined by users. 2DMAT offers wrappers of direct problem solvers for some of quantum beam diffraction experiments such as the total-reflection high-energy positron diffraction (TRHEPD) experiment. As algorithms, it offers some minimizers such as the Nelder-Mead method and some samplers such as the population annealing Monte Carlo method. In the future, we plan to add other direct problem solvers and search algorithms in 2DMAT.

Branch Build status Documentation
master (latest, stable) master doc_en doc_ja
develop (latest, unstable) -- doc_en doc_ja

py2dmat

py2dmat is a python framework library for solving inverse problems. It also offers a driver script to solve the problem with predefined optimization algorithms and direct problem solvers (py2dmat also means this script).

Prerequists
  • Required
    • python >= 3.6.8
    • numpy >= 1.14
    • tomli >= 1.2.0
  • Optional
    • scipy
      • for minsearch algorithm
    • mpi4py
      • for exchange algorithm
    • physbo >= 1.0
      • for bayes algorithm
Install
  • From PyPI (Recommended)
    • python3 -m pip install -U py2dmat
      • If you install them locally, use --user option like python3 -m pip install -U --user
  • From Source (For developers)
    1. update pip >= 19 by python3 -m pip install -U pip
    2. python3 -m pip install 2DMAT_ROOT_DIRECTORY to install py2dmat package and py2dmat command
    • 2DMAT_ROOT_DIRECTORY means the directory including this README.md file.
Simple Usage
  • py2dmat input.toml (use the installed script)
  • python3 src/py2dmat_main.py input.toml (use the raw script)
  • For details of the input file, see the document.

Files and directories of 2DMAT

  • src/
    • source codes
  • script/
    • utility scripts
  • sample/
    • sample usages
  • doc/
    • source codes of documents (manuals)
  • tests/
    • for automatic test
  • LICENSE
    • license terms (GNU GPL v3)
  • README.md
    • this file
  • pyproject.toml
    • metadata for py2dmat

License

This package is distributed under GNU General Public License version 3 (GPL v3) or later.

We hope that you cite the following references when you publish the results using 2DMAT: “Data-analysis software framework 2DMAT and its application to experimental measurements for two-dimensional material structures”, Y. Motoyama, K. Yoshimi, I. Mochizuki, H. Iwamoto, H. Ichinose, and T. Hoshi, Computer Physics Communications 280, 108465 (2022).

Bibtex:

@article{MOTOYAMA2022108465, title = {Data-analysis software framework 2DMAT and its application to experimental measurements for two-dimensional material structures}, journal = {Computer Physics Communications}, volume = {280}, pages = {108465}, year = {2022}, issn = {0010-4655}, doi = {https://doi.org/10.1016/j.cpc.2022.108465}, url = {https://www.sciencedirect.com/science/article/pii/S0010465522001849}, author = {Yuichi Motoyama and Kazuyoshi Yoshimi and Izumi Mochizuki and Harumichi Iwamoto and Hayato Ichinose and Takeo Hoshi} }

© 2020- The University of Tokyo. All rights reserved. This software was developed with the support of "Project for advancement of software usability in materials science" of The Institute for Solid State Physics, The University of Tokyo.

出典: https://github.com/issp-center-dev/2DMAT の README

充実度

通常 · 6 コミット/年最終更新: 2026-10-04 ()

充実度 = ドキュメント(docs)・サンプル(examples)・テスト(tests)の3項目の整備状況を★3で表示します(1星=1項目/下のチェックリストが内訳)。リポジトリ情報を取得していない(手動で登録した)ソフトウェアは自動評価の対象外で、充実度の絞り込み(1 以上)では表示されません。

情報

主要言語
Python
言語
Python, Shell
ライセンス
GPL-3.0
提供元
github
DOI
10.1016/j.cpc.2022.108465
ドキュメント
https://www.pasums.issp.u-tokyo.ac.jp/2dmat/

引用

Y. Motoyama et al., Comput. Phys. Commun. 280, 108465 (2022).

DOI: 10.1016/j.cpc.2022.108465

問い合わせ・貢献