An atomistic model of electronic polarizability for calculation of Raman scattering from large-scale MD simulations
Atanu Paul, Anthony Ruffino, Stefan Masiuk, Jonathan Spanier, and Ilya, Grinberg

TL;DR
This paper introduces a simple, physically-based atomistic model that accurately captures electronic polarizability changes, enabling large-scale MD simulations to interpret Raman spectra without extensive computational resources.
Contribution
The authors develop a compact atomistic model with few parameters that accurately predicts electronic polarizability, facilitating large-scale Raman spectrum simulations.
Findings
Model accurately reproduces ab initio and experimental polarizability data.
Enables simulation of Raman spectra for systems with up to 1 million atoms.
Allows local analysis of contributions to Raman spectra.
Abstract
The application of molecular dynamics (MD) simulations to the interpretation of Raman scattering spectra is hindered by inability of atomistic simulations to account for the dynamic evolution of electronic polarizability, requiring the use of either ab initio method or parameterization of machine learning models. More broadly, the dynamic evolution of electronic-structure-derived properties cannot be treated by the current atomistic models. Here, we report a simple, physically-based atomistic model with few (maximum 10 parameters for the systems considered here) adjustable parameters that can accurately represent the changes in the electronic polarizability tensor for molecules and solid-state systems. Due to its compactness, the model can be applied for simulations of Raman spectra of large (~ 1,000,000-atom) systems with modest computational cost. To demonstrate its accuracy, the…
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Taxonomy
TopicsMachine Learning in Materials Science · Electronic and Structural Properties of Oxides · Catalysis and Oxidation Reactions
