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Ryo IGARASHI
Ryo IGARASHI
OMRON SINIC X Corporation
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Titel
Zitiert von
Zitiert von
Jahr
The ALPS project release 1.3: Open-source software for strongly correlated systems
AF Albuquerque, F Alet, P Corboz, P Dayal, A Feiguin, S Fuchs, L Gamper, ...
Journal of Magnetism and Magnetic Materials 310 (2), 1187-1193, 2007
7642007
The ALPS project release 2.0: open source software for strongly correlated systems
B Bauer, LD Carr, HG Evertz, A Feiguin, J Freire, S Fuchs, L Gamper, ...
Journal of Statistical Mechanics: Theory and Experiment 2011 (05), P05001, 2011
6382011
Updated core libraries of the ALPS project
A Gaenko, AE Antipov, G Carcassi, T Chen, X Chen, Q Dong, L Gamper, ...
Computer Physics Communications 213, 235-251, 2017
982017
Tensor renormalization group with randomized singular value decomposition
S Morita, R Igarashi, HH Zhao, N Kawashima
Physical Review E 97 (3), 033310, 2018
382018
Analysis of protein folding simulation with moving root mean square deviation
Y Maruyama, R Igarashi, Y Ushiku, A Mitsutake
Journal of Chemical Information and Modeling 63 (5), 1529-1541, 2023
302023
Ground-state properties of the one-dimensional attractive Hubbard model with confinement: A comparative study
JH Hu, JJ Wang, G Xianlong, M Okumura, R Igarashi, S Yamada, ...
Physical Review B—Condensed Matter and Materials Physics 82 (1), 014202, 2010
232010
The second-order reduced density matrix method and the two-dimensional Hubbard model
JSM Anderson, M Nakata, R Igarashi, K Fujisawa, M Yamashita
Computational and Theoretical Chemistry 1003, 22-27, 2013
212013
Rethinking symbolic regression datasets and benchmarks for scientific discovery
Y Matsubara, N Chiba, R Igarashi, Y Ushiku
arXiv preprint arXiv:2206.10540, 2022
162022
SRSD: Rethinking Datasets of Symbolic Regression for Scientific Discovery
Y Matsubara, N Chiba, R Igarashi, Y Ushiku
NeurIPS 2022 AI for Science: Progress and Promises, 2022
52022
並列固有値計算ライブラリの統一的インターフェースの開発とベンチマーク
坂下達哉， 五十嵐亮， 大久保毅， 藤堂眞治
研究報告ハイパフォーマンスコンピューティング (HPC) 2013 (14), 1-4, 2013
5*2013
Crystalformer: infinitely connected attention for periodic structure encoding
T Taniai, R Igarashi, Y Suzuki, N Chiba, K Saito, Y Ushiku, K Ono
arXiv preprint arXiv:2403.11686, 2024
42024
Neural Structure Fields with Application to Crystal Structure Autoencoders
N Chiba, Y Suzuki, T Taniai, R Igarashi, Y Ushiku, K Saito, K Ono
AI for Accelerated Materials Design NeurIPS 2022 Workshop, 2022
32022
A Transformer Model for Symbolic Regression towards Scientific Discovery
F Lalande, Y Matsubara, N Chiba, T Taniai, R Igarashi, Y Ushiku
arXiv preprint arXiv:2312.04070, 2023
12023
MateriApps—a portal site of materials science simulation
Y Konishi, R Igarashi, S Kasamatsu, T Kato, N Kawashima, T Kawatsu, ...
Proceedings of Computational Science Workshop 2014 (CSW2014), 011007, 2015
12015
Partial order of frustrated Potts model
R Igarashi, M Ogata
Journal of Physics: Conference Series 200 (2), 022019, 2010
12010
MaterialBENCH: Evaluating College-Level Materials Science Problem-Solving Abilities of Large Language Models
M Yoshitake, Y Suzuki, R Igarashi, Y Ushiku, K Nagato
arXiv preprint arXiv:2409.03161, 2024
2024
統一的なオープンソース線形代数ライブラリ monolish の提案
菱沼利彰， 五十嵐亮， 寺村俊紀， 森田直樹， 井原遊
研究報告ハイパフォーマンスコンピューティング (HPC) 2021 (3), 1-11, 2021
2021
20pPSB-49 乱択特異値分解および固有値分解の MPS 法への導入
五十嵐亮
日本物理学会講演概要集 71.1, 2959, 2016
2016
GPU を利用したテンソルネットワーク計算ライブラリの開発
森田悟史， 大久保毅， 五十嵐亮， 原田健自
日本物理学会講演概要集 71.2, 2893-2893, 2016
2016
17pPSA-13 乱択特異値分解を用いたテンソルネットワーク法の性能評価
森田悟史， 五十嵐亮
日本物理学会講演概要集 70.2, 2671, 2015
2015
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