Thermodynamic properties of systems are often investigated computationally. Traditionally, thermal physics simulations are limited by their very small energy ranges and slow convergence. Broad histogram algorithms are a class of Monte Carlo algorithms that can explore an entire energy (and temperature) range in one thermal physics simulation: potentially saving months...
Free energy is a fundamental property of a thermodynamic system, from which pressure, entropy, and other interesting properties can be derived. It is useful, then, to be able to accurately compute the free energy at various densities and temperatures in a way that can serve as the basis for further...
We identify and develop efficient Monte Carlo methods for determining thermodynamic properties of the square-well fluid in order to test square-well density functional theories near the critical point. Previous works have developed generic so-called histogram methods for collecting statistics on low energy system states, but little or no literature exists...
The behavior of small atomics cluster largely depends on their geometry,
due to the high ratio of surface atoms to interior atoms. One interesting aspect
to study clusters centers around characterizing the transition behavior between
nite and bulk materials, where the ratio of surface atoms to interior atoms is
very...