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.

Information

Official site https://www.pasums.issp.u-tokyo.ac.jp/2dmat/
Openness ★★★
Manual https://www.pasums.issp.u-tokyo.ac.jp/2dmat/doc/manual
Download https://github.com/issp-center-dev/2DMAT/releases
License

GPL v3

Core Developers
  • 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)
Availability

Windows, MacOS, Linux