We study various interdisciplinary subjects, e.g., physical, biological and social systems in the light of statistical mechanics, nonlinear dynamics and computational physics. We are interested in a wide range of topics including critical phenomena, phase transitions, dune dynamics, protein science, biomolecular motors, neural networks, ecological systems, virus evolution and immune response, traffic flows, game theory, language evolution, economic systems, etc. Although these subjects appear quite different from each other at first glance, they share a key concept: complexity of interactions. Complex behaviors of these systems emerged from various interactions between diverse elements, e.g. amino acids, neurons, species, viruses and immune cells, etc. Studying them from the point of statistical mechanics, we can make each particular case more clear. We also focus on on new methodologies of scientific computing such as a new Monte Carlo method based on extended ensembles implemented on a supercomputer and a PC cluster system with more than 100CPUs. A free atmosphere is another feature of our laboratory and we have hosted international students from Bulgaria, Indonesia and Korea.
PC Cluster System