2DMAT Gallery
2dmat-dev / 2DMAT Gallery
概要
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. In the version 2.0, for solving a direct problem, 2DMAT offers the wrapper of the solver for the total-reflection high-energy positron diffraction (TRHEPD) experiment, sxrd, and leed. As algorithms, it offers the Nelder-Mead method, the grid search method, the Bayesian optimization method, the replica exchange Monte Carlo method, and the population annealing Monte Carlo method. This repository provides the sample data including input and output data for 2DMAT.
- URL
- https://isspns-gitlab.issp.u-tokyo.ac.jp/2dmat-dev/2dmat-gallery
- 著者
- Takeo Hoshi, Kazuyoshi Yoshimi, Yuichi Motoyama
- ライセンス
- Documents: CC BY 4.0, Codes: GNU General Public License v3.0 or later
- カテゴリ
- 機械学習, その他
- 関連ソフトウェア
- 2DMAT (リンク先: PASUMS ソフトウェアカタログ)
- 連絡先
- 2dmat-dev__at__issp.u-tokyo.ac.jp (__at__ を @ に置き換えてください。)
README
2DMAT Gallery
About
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. In the version 2.0, for solving a direct problem, 2DMAT offers the wrapper of the solver for the total-reflection high-energy positron diffraction (TRHEPD) experiment, sxrd, and leed. As algorithms, it offers the Nelder-Mead method, the grid search method, the Bayesian optimization method, the replica exchange Monte Carlo method, and the population annealing Monte Carlo method. This repository provides the sample data including input and output data for 2DMAT.
License
- Documents: CC BY 4.0
- Source codes: GNU General Public License v3.0 or later
We hope that you cite the reference when you publish the results using 2DMAT, our data or codes:
Bibtex:
@article{MOTOYAMA2022108465, title = {Data-analysis software framework 2DMAT and its application to experimental measurements for two-dimensional material structures}, journal = {Computer Physics Communications}, 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} }
Folder structures
- LICENSE
- README.md
- data
- paper
- cpc2022
- README.md
- data_Sec_4_2
- data_Sec_5_1_2
- data_Sec_5_1_3
- data_Sec_5_1_4
- data_Sec_5_2_1
- cpc2022
- paper
Contact
- 2dmat-dev__at__issp.u-tokyo.ac.jp
please replace __at__ by @.
出典: https://isspns-gitlab.issp.u-tokyo.ac.jp/2dmat-dev/2dmat-gallery の README