A new approach to Monte Carlo simulations in statistical physics

AUTOR(ES)

Landau, D. P., Wang, F.

FONTE

Brazilian Journal of Physics

DATA DE PUBLICAÇÃO

2004-06

RESUMO

We describe a new algorithm that approaches Monte Carlo simulation in statistical physics in a different way. Instead of sampling the probability distribution at a fixed temperature, a random walk is performed in energy space to directly extract an estimate for the density of states. The canonical probability can then be found at any temperature by weighting by the appropriate Boltzmann factor, and thermodynamic properties can be determined from suitable derivatives of the partition function.

Documentos Relacionados

• Static and statistical bending of DNA evaluated by Monte Carlo simulations.
• Introduction to quantum Monte Carlo simulations for fermionic systems
• Reaching the global minimum in docking simulations: A Monte Carlo energy minimization approach using Bezier splines
• Square water as a solvent: Monte Carlo simulations
• Monte Carlo simulations of antiferromagnetic small particles