Options
Thermodynamic calculations using reverse Monte Carlo: convergence aspects, sources of error and guidelines for improving accuracy
Journal
Molecular Simulation
ISSN
08927022
Date Issued
2022-01-01
Author(s)
Agrahari, Gargi
Chatterjee, Abhijit
Abstract
The reverse Monte Carlo (RMC) method has been widely used to gain 3D structural ordering information from experimental scattering data. Recently, we have introduced a novel application of RMC, viz., calculating thermodynamic properties of crystalline materials, construction of phase diagram and rapid estimation of the local structural order [Agrahari and Chatterjee, Physical Review E, 104, 044129 (2021).]. The method has been shown to be accurate and orders-of-magnitude faster than standard Monte Carlo simulations–this makes the approach quite promising. However, the error in RMC has never been systematically quantified. The goal here is to perform a thorough investigation into the types of error in RMC-based thermodynamic calculations, assess the relative magnitude of these errors, and develop strategies to improve the accuracy. Some of the conclusions presented are also relevant to previous experiment-based RMC implementations.
Subjects