Cybermedia Center

Interdisciplinary Computational Physics Group

Research Interests

1.

Statistical mechanics of machine learning and design: from deep learning to biological evolutions

2.

Physics of amorphous solids: glass and jamming transitions

3.

Statistical mechanics of inference, constraint satisfaction problems, and optimization problems

Introduction to the research interests

Various interdisciplinary subjects, e.g., machine learning based on deep neural networks, and physics of disordered systems are studied in the light of statistical mechanics and computational physics. Although the subjects seem to be quite different from each other, at first glance, they share the same key concepts: their complex behaviors emerge from the complex interactions among large number of relatively simple elements.