Research field (2)：
Mathematical physics and basic theory
, Magnetism, superconductivity, and strongly correlated systems
Research theme for competitive and other funds (1)：
2019 - 2023 情報理論を用いた精度保証付き解析接続手法の確立
Papers (23)：
Kota Ido, Mitsuaki Kawamura, Yuichi Motoyama, Kazuyoshi Yoshimi, Youhei Yamaji, Synge Todo, Naoki Kawashima, Takahiro Misawa. Update of HΦ: Newly added functions and methods in versions 2 and 3. Computer Physics Communications. 2024. 298. 109093-109093
Tatsumi Aoyama, Kazuyoshi Yoshimi, Kota Ido, Yuichi Motoyama, Taiki Kawamura, Takahiro Misawa, Takeo Kato, Akito Kobayashi. H-wave - A Python package for the Hartree-Fock approximation and the random phase approximation. Computer Physics Communications. 2024. 298. 109087-109087
Shusuke Kasamatsu, Yuichi Motoyama, Kazuyoshi Yoshimi, Tatsumi Aoyama. Configuration sampling in multi-component multi-sublattice systems enabled by ab initio Configuration sampling toolkit (abICS). Science and Technology of Advanced Materials: Methods. 2023. 3. 1. 2284128
Kota Ido, Yuichi Motoyama, Kazuyoshi Yoshimi, Takahiro Misawa. Data Analysis of Ab initio Effective Hamiltonians in Iron-Based Superconductors - Construction of Predictors for Superconducting Critical Temperature. Journal of the Physical Society of Japan. 2023
Yuichi Motoyama, Kazuyoshi Yoshimi, Takeo Kato, Synge Todo. MateriApps LIVE! and MateriApps Installer: Environment for starting and scaling up materials science simulations. SoftwareX. 2022. 20. 101210-101210
Hiroshi Watanabe, Yuichi Motoyama, Satoshi Morita, Naoki Kawashima. Non-monotonic behavior of the Binder parameter in discrete spin systems. Progress of Theoretical and Experimental Physics. 2023. 2023. 3
Kota Ido, Yuichi Motoyama, Kazuyoshi Yoshimi, Takahiro Misawa. Data analysis on $ab$ $initio$ effective Hamiltonians of iron-based superconductors. 2021
Shusuke Kasamatsu, Yuichi Motoyama, Kazuyoshi Yoshimi, Ushio Matsumoto, Akihide Kuwabara, Takafumi Ogawa. Enabling ab initio configurational sampling of multicomponent solids with long-range interactions using neural network potentials and active learning. 2020
Watanabe Hiroshi, Motoyama Yuichi, Morita Satoshi, Kawashima Naoki. Hump of the Binder Parameter in Potts Models. Meeting Abstracts of the Physical Society of Japan. 2020. 75.1. 2516-2516
Sparse modeling analytical continuation of matrix-valued Green's functions
(CCP2023 - 34th IUPAP Conference on Computational Physics 2023)
Hump of the Binder Parameter in Potts Models
(Meeting Abstracts of the Physical Society of Japan 2020)
Introduction to DSQSS -- path-integral Monte Carlo solver for quantum lattice models
(Meeting Abstracts of the Physical Society of Japan 2019)
Introduction to a numerical solver package based on many-variational Monte Carlo method (mVMC)
(Meeting Abstracts of the Physical Society of Japan 2017)
19pBK-5 Extended ensemble method for continuous space quantum Monte Carlo
(Meeting Abstracts of the Physical Society of Japan 2016)
