Tackling the Challenge of a Huge Materials Science Search Space with Quantum-Inspired Annealing. - Kan Hatakeyama-Sato; Takahiro Kashikawa; Koichi Kimura; Kenichi Oyaizu (Adv. Intell. Syst., 2021)

Teaching Specific Scientific Knowledge into Large Language Models through Additional Training. - Kan Hatakeyama-Sato; Yasuhiko Igarashi; Shun Katakami; Yuta Nabae; Teruaki Hayakawa (CoRR, 2023)

Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research. - Kan Hatakeyama-Sato; Toshihiko Nishida; Kenta Kitamura; Yoshitaka Ushiku; Koichi Takahashi; Yuta Nabae; Teruaki Hayakawa (CoRR, 2025)