Supporting Information

The Supporting Information contains additional computational details, especially regarding the validation of the machine-learning potentials, and further details on the results and analysis of MD simulations and calculated spectra.

Authors

Publication Details

Journal
AIP Publishing
Published
2026-11-04
DOI
https://doi.org/10.60893/figshare.jcp.34701585
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

Supporting Information

Amke Nimmrich, Axel Gomez, Munira Khalil, Niranjan Govind et al.
AIP Publishing
Machine Learning in Materials Science
article

Supporting Information

Amke Nimmrich, Axel Gomez, Munira Khalil, Niranjan Govind, Chenghao Zhang, Victor Freixas, Shaul Mukamel
article en

Abstract

The Supporting Information contains additional computational details, especially regarding the validation of the machine-learning potentials, and further details on the results and analysis of MD simulations and calculated spectra.

AIP Publishing
Openalex Percentile: Top 30%
Machine Learning in Materials Science
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Supporting Information — Amke Nimmrich, Axel Gomez, et al. · AIP Publishing (2026) | TGRS Research Map | TGRS