Efficient sampling of atomic configurational spaces
Livia B. P\'artay, Albert P. Bart\'ok, G\'abor Cs\'anyi

TL;DR
This paper introduces an efficient, unbiased nested sampling method to explore the potential energy surface of chemical systems, enabling accurate free energy calculations and phase diagram determination for Lennard-Jones clusters.
Contribution
It adapts nested sampling for chemical systems, providing a new way to explore configurational spaces and compute thermodynamic properties efficiently.
Findings
Order of magnitude efficiency gain over parallel tempering.
Straightforward approximation of partition functions and free energies.
Visualization of PES topology and macroscopic states.
Abstract
We describe a method to explore the configurational phase space of chemical systems. It is based on the nested sampling algorithm recently proposed by Skilling [Skilling J. (2004) In AIP Conference Proceedings, vol. 735, p. 395.; Skilling J. (2006) J of Bayesian Analysis 1:833-860.] and allows us to explore the entire potential energy surface (PES) efficiently in an unbiased way. The algorithm has two parameters which directly control the trade-off between the resolution with which the space is explored and the computational cost. We demonstrate the use of nested sampling on Lennard-Jones (LJ) clusters. Nested sampling provides a straightforward approximation for the partition function, thus evaluating expectation values of arbitrary smooth operators at arbitrary temperatures becomes a simple post-processing step. Access to absolute free energies allows us to determine the…
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Taxonomy
TopicsCrystallization and Solubility Studies · Protein Structure and Dynamics · Machine Learning in Materials Science
