Display Abstract

Title Enhanced sampling techniques for spin and biological systems

Name Yuko Okamoto
Country Japan
Email okamoto@phys.nagoya-u.ac.jp
Co-Author(s)
Submit Time 2014-04-13 12:26:03
Session
Special Session 61: Enhanced sampling techniques in simulation of complex systems
Contents
Conventional Monte Calro and molecular dynamics simulations of spin and biological systems are greatly hampered by the multiple-minima problem, where the simulations tend to get trapped in some of a huge number of local-minimum-energy states. In order to overcome this difficulty, we have been advocating the uses of generalized-ensemble algorithms which are based on non-Boltzmann weight factors. With these algorithms we can explore a wide range of the configurational space. The advantage of generalized-ensemble algorithms such as multicanonical algorithm, simulated tempering, and replica-exchange method lies in the fact that from only one simulation run, one can obtain various thermodynamic quantities as functions of temperature and other parameters of the system. In this talk, I will present the results of our recent applications of generalized-ensemble algorithms to spin and biomolecular systems.