Updated core libraries of the ALPS project. - Alexander Gaenko; Andrey E. Antipov; Gabriele Carcassi; Tianran Chen; Xi Chen; Qiaoyuan Dong; Lukas Gamper; Jan Gukelberger; Ryo Igarashi 002; Sergei Iskakov; Mario Könz; James P. F. LeBlanc; et al. (Comput. Phys. Commun., 2017)

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery. - Yoshitomo Matsubara; Naoya Chiba; Ryo Igarashi 002; Tatsunori Taniai; Yoshitaka Ushiku (CoRR, 2022)

Neural Structure Fields with Application to Crystal Structure Autoencoders. - Naoya Chiba; Yuta Suzuki; Tatsunori Taniai; Ryo Igarashi 002; Yoshitaka Ushiku; Kotaro Saito; Kanta Ono (CoRR, 2022)

A Transformer Model for Symbolic Regression towards Scientific Discovery. - Florian Lalande; Yoshitomo Matsubara; Naoya Chiba; Tatsunori Taniai; Ryo Igarashi 002; Yoshitaka Ushiku (CoRR, 2023)

Analysis of Protein Folding Simulation with Moving Root Mean Square Deviation. - Yutaka Maruyama; Ryo Igarashi 002; Yoshitaka Ushiku; Ayori Mitsutake (J. Chem. Inf. Model., 2023)

Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding. - Tatsunori Taniai; Ryo Igarashi 002; Yuta Suzuki; Naoya Chiba; Kotaro Saito; Yoshitaka Ushiku; Kanta Ono (ICLR, 2024)

MaterialBENCH: Evaluating College-Level Materials Science Problem-Solving Abilities of Large Language Models. - Michiko Yoshitake; Yuta Suzuki; Ryo Igarashi 002; Yoshitaka Ushiku; Keisuke Nagato (CoRR, 2024)

Rethinking the role of frames for SE(3)-invariant crystal structure modeling. - Yusei Ito; Tatsunori Taniai; Ryo Igarashi 002; Yoshitaka Ushiku; Kanta Ono (ICLR, 2025)

Contrastive Language-Structure Pre-training Driven by Materials Science Literature. - Yuta Suzuki; Tatsunori Taniai; Ryo Igarashi 002; Kotaro Saito; Naoya Chiba; Yoshitaka Ushiku; Kanta Ono (CoRR, 2025)

CrystalFramer: Rethinking the Role of Frames for SE(3)-Invariant Crystal Structure Modeling. - Yusei Ito; Tatsunori Taniai; Ryo Igarashi 002; Yoshitaka Ushiku; Kanta Ono (CoRR, 2025)