Keisuke Makino

Machine-learned interatomic potentials for battery materials: from fundamental methodology to emerging applications in electrodes, electrolytes, and interfaces.

The rapid expansion of battery technologies beyond conventional lithium-ion systems has created an urgent demand for predictive, atomistic-scale simulation tools capable of addressing increasingly complex materials and interfaces. While first-principles calculations have played a central role in elucidating fundamental...