Chemical bond based machine learning model for dipole moment: Application to dielectric properties of liquid methanol and ethanol
Amano Tomohito; Yamazaki Tamio; Tsuneyuki Shinji
Physical Review. B,2024, 110, 16, 165159.

Seiji Miyashita and Bernard Barbara,
Sequential resonance for giant quantum oscillations above the energy barrier and its classical counterpart, Phys. Rev. B 109, 104301 (2024). DOI: 10.1103/PhysRevB.109.104301

M. Nishino, H. Hirosawa and S. Miyashita, Thermodynamic properties of R2Fe14B (R=Dy, Nd) and dysprosium random substitution effect on coercivity in neodymium permanent magnets, J. Appl. Phys. 136, 033904 (2024).

Masamichi Nishino and Seiji Miyashita,
Dynamical Simulation for Long-Time Relaxation From Metastable States:
Quantitative Estimation of Coercive Field and Relaxation Time, European Journal of Inorganic Chemistry {\bf 27},e202400458 (1-11) (2024).

Seiji Miyashita; Masamichi Nishino; Cristian Enachescu, Mechanisms of Separation of the Elastic Step and the Thermal Step, European Journal of Inorganic Chemistry {\bf 27},e202400656 (1-15) (2024).
DOI: 10.1002/ejic.202400656

Satoshi Morita, Yoshiaki Teranishi, and Seiji Miyashita, Optimization of conveyance of quantum particles by moving potential well, Phys. Rev. Research 6, 043329 (2024). DOI: https://doi.org/10.1103/