Development of effective stochastic potential method using random matrix theory for efficient conformational sampling of semiconductor nanoparticles at non-zero temperatures
Jeremy A. Scher, Michael G. Bayne, Amogh Srihari, Shikha Nangia, and, Arindam Chakraborty

TL;DR
This paper introduces an effective stochastic potential (ESP) method based on random matrix theory to enable efficient conformational sampling of molecules at non-zero temperatures, reducing computational costs.
Contribution
The work develops a novel ESP method using random matrix theory and deformation potential concepts for efficient conformational sampling at finite temperatures.
Findings
Successfully applied to water and CdSe clusters at 300K.
Demonstrated the method's efficiency with 10^5 ESP calculations.
Validated the ESP approach for statistical sampling of molecular conformations.
Abstract
In this work, the development and implementation of the effective stochastic potential (ESP) method is presented to perform efficient conformational sampling of molecules. The overarching goal of this work is to alleviate the computational bottleneck associated with performing a large number of electronic structure calculations required for conformational sampling. We introduce the concept of a deformation potential and demonstrate its existence by the proof-by-construction approach. A statistical description of the fluctuations in the deformation potential due to non-zero temperature was obtained using infinite-order moment expansion of the distribution. The formal mathematical definition of the ESP was derived using functional minimization approach to match the infinite-order moment expansion for the deformation potential. Practical implementation of the ESP was obtained using the…
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