Surveying an Energy Landscape

Abstract

We derive a formula that expresses the density of states of a system with continuous degrees of freedom as a function of microcanonical averages of squared gradient and Laplacian of the Hamiltonian. This result is then used to propose a novel flat-histogram Monte Carlo algorithm, which is tested on a three-dimensional system of interacting Lennard-Jones particles, the O(n) vector spin model on hypercubic lattices in D = 1 to 5 dimensions, and the O(3) Heisenberg model on a triangular lattice featuring frustration effects.

10 pages, 8 figures

References in corpus (3)

• Advanced multicanonical Monte Carlo methods for efficient simulations of nucleation processes of polymers
• Critical energy density of O$(n)$ models in $d=3$
• A simple algorithm for uniform sampling on the surface of a hypersphere