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cond-mat.str-el2026
Revisiting spin Hamiltonian parameters in a Kitaev material via Bayesian optimization of magnetization curves
Takahiro Misawa, Ryo Tamura, Kazuyoshi Yoshimi +1
Determining the spin Hamiltonian of a magnetic compound is crucial for understanding its magnetic properties. A standard approach is to derive model parameters from c…
physics.comp-ph2026
Update of PHYSBO: Improving Usability and Portability of Bayesian Optimization for Physics and Materials Research
Yuichi Motoyama, Kazuyoshi Yoshimi, Tatsumi Aoyama +3
Bayesian optimization (BO) is widely used to accelerate physics and materials research, where objective function evaluations are computationally or experimentally expensive. While…