Akashi, Ryosuke

Using the first-principles calculation, which solves the quantum dynamics equations for electrons in materials as accurately as possible, we simulate their electronic properties in silico and reveal their mechanisms, aiming at predictions of novel superconductor and semiconductor materials. We also work on making the pertinent equations sparse on the basis of the density functional theory, machine learning and data science to seek better expressions of many-electron systems and their efficient computations.