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20232025
most citedPolarizability Models for Simulations of Finite Temperature Raman Spectra from Machine Learning Molecular Dynamics

2 citations · 3 across the 3 of their papers we have counts for

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cond-mat.mtrl-sci2025

Screening of material defects using universal machine-learning interatomic potentials

Ethan Berger, Mohammad Bagheri, Hannu-Pekka Komsa

Finding new materials with previously unknown atomic structure or materials with optimal set of properties for a specific application greatly benefits from computational modeling.…