| mVMC—Open-source software for many-variable variational Monte Carlo method T Misawa, S Morita, K Yoshimi, M Kawamura, Y Motoyama, K Ido, ... Computer Physics Communications 235, 447-462, 2019 | 93 | 2019 |
| RESPACK: An ab initio tool for derivation of effective low-energy model of material K Nakamura, Y Yoshimoto, Y Nomura, T Tadano, M Kawamura, T Kosugi, ... Computer Physics Communications 261, 107781, 2021 | 55 | 2021 |
| Bayesian optimization package: PHYSBO Y Motoyama, R Tamura, K Yoshimi, K Terayama, T Ueno, K Tsuda Computer Physics Communications 278, 108405, 2022 | 32 | 2022 |
| Path-integral Monte Carlo method for the local Z 2 Berry phase Y Motoyama, S Todo Physical Review E 87 (2), 021301, 2013 | 15 | 2013 |
| SpM: Sparse modeling tool for analytic continuation of imaginary-time Green’s function K Yoshimi, J Otsuki, Y Motoyama, M Ohzeki, H Shinaoka Computer Physics Communications 244, 319-323, 2019 | 13 | 2019 |
| Asymmetric melting of a one-third plateau in kagome quantum antiferromagnets T Misawa, Y Motoyama, Y Yamaji Physical Review B 102 (9), 094419, 2020 | 10 | 2020 |
| Robust analytic continuation combining the advantages of the sparse modeling approach and the Padé approximation Y Motoyama, K Yoshimi, J Otsuki Physical Review B 105 (3), 035139, 2022 | 8 | 2022 |
| Z_N Berry phase and symmetry protected topological phases of SU (N) antiferromagnetic Heisenberg chain Y Motoyama, S Todo Physical Review B 98, 195127, 2015 | 8 | 2015 |
| 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, T Hoshi Computer Physics Communications 280, 108465, 2022 | 7 | 2022 |
| sim-trhepd-rheed–Open-source simulator of total-reflection high-energy positron diffraction (TRHEPD) and reflection high-energy electron diffraction (RHEED) T Hanada, Y Motoyama, K Yoshimi, T Hoshi Computer Physics Communications 277, 108371, 2022 | 7 | 2022 |
| Facilitating ab initio configurational sampling of multicomponent solids using an on-lattice neural network model and active learning S Kasamatsu, Y Motoyama, K Yoshimi, U Matsumoto, A Kuwabara, ... The Journal of Chemical Physics 157 (10), 104114, 2022 | 6 | 2022 |
| TeNeS: Tensor network solver for quantum lattice systems Y Motoyama, T Okubo, K Yoshimi, S Morita, T Kato, N Kawashima Computer Physics Communications 279, 108437, 2022 | 5 | 2022 |
| DSQSS: Discrete Space Quantum Systems Solver Y Motoyama, K Yoshimi, A Masaki-Kato, T Kato, N Kawashima Computer Physics Communications 264, 107944, 2021 | 5 | 2021 |
| Kω—Open-source library for the shifted Krylov subspace method of the form (zI− H) x= b T Hoshi, M Kawamura, K Yoshimi, Y Motoyama, T Misawa, Y Yamaji, ... Computer Physics Communications 258, 107536, 2021 | 5 | 2021 |
| Dimer-Mott and charge-ordered insulating states in the quasi-one-dimensional organic conductors - and R Kobayashi, K Hashimoto, N Yoneyama, K Yoshimi, Y Motoyama, ... Physical Review B 96 (11), 115112, 2017 | 3 | 2017 |
| Universal and Non-Universal Correction Terms of Bose Gases in Dilute Region: A Quantum Monte Carlo Study A Masaki-Kato, Y Motoyama, N Kawashima Journal of the Physical Society of Japan 91 (2), 024001, 2022 | 2 | 2022 |
| Data analysis on $ ab $$ initio $ effective Hamiltonians of iron-based superconductors K Ido, Y Motoyama, K Yoshimi, T Misawa arXiv preprint arXiv:2109.09121, 2021 | 2 | 2021 |
| Enabling ab initio configurational sampling of multicomponent solids with long-range interactions using neural network potentials and active learning S Kasamatsu, Y Motoyama, K Yoshimi, U Matsumoto, A Kuwabara, ... arXiv preprint arXiv:2008.02572, 2020 | 2* | 2020 |
| Configuration sampling in multi-component multi-sublattice systems enabled by ab Initio Configuration Sampling Toolkit (abICS) S Kasamatsu, Y Motoyama, K Yoshimi, T Aoyama arXiv preprint arXiv:2309.04769, 2023 | | 2023 |
| H-wave--A Python package for the Hartree-Fock approximation and the random phase approximation T Aoyama, K Yoshimi, K Ido, Y Motoyama, T Kawamura, T Misawa, T Kato, ... arXiv preprint arXiv:2308.00324, 2023 | | 2023 |
Takahiro MisawaInstitute for Solid State Physics (ISSP), University of TokyoVerified email at issp.u-tokyo.ac.jp
