Research

Various interdisciplinary subjects, e.g., biological systems and social systems, are studied in the light of statistical mechanics, nonlinear dynamics and computational physics. Although the subjects are quite different each other at first glance, they share the key concepts: their complex behaviors are emerged by a large number of relatively simple elements with complex interactions. Studying them in the uniform view point, we can make each particular case clear all the more. Researches on new methodologies of scientific computings are also in progress using a PC cluster system with more than 100 CPUs.

Research areas:

  1. Protein foldings, design and evolution
  2. Traffic flows as nonlinear dynamical systems
  3. Mechanism of biomolecular motors
  4. Critical phenomena and phase transition
  5. New Monte Carlo sampling methods based on extended ensembles
  6. Evolution of large-scale ecological systems with complex interspecies interactions
  7. Dynamics and learning of neural networks
  8. Econophysics
  9. Sand dune dynamics