Machine learning force fields: recent advances and technical challenges in cross-disciplinary applications

Authors

Junbao Hu (ORCID: https://orcid.org/0000-0003-0465-3175)
Lifeng Xu (ORCID: https://orcid.org/0000-0001-8840-7881)
Jian Jiang

Publication Details

Journal: Scientia Sinica Chimica
Published: 2025-04-16
DOI: https://doi.org/10.1360/ssc-2025-0084
Citations: 1
Primary Topic: Machine Learning in Materials Science
Type: article
Field-Weighted Citation Impact: 0.52

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article

Machine learning force fields: recent advances and technical challenges in cross-disciplinary applications

Junbao Hu, Lifeng Xu, Jian Jiang

Apr 16, 2025

1 citations

Scientia Sinica Chimica

Machine Learning in Materials Science

0.52

article

Machine learning force fields: recent advances and technical challenges in cross-disciplinary applications

Junbao Hu, Lifeng Xu, Jian Jiang

April 16, 2025article en

1 citations

Abstract

No abstract available for this paper.

Scientia Sinica ChimicaVol. 55(6)

Openalex Percentile: Top 40%

Machine Learning in Materials Science

0.52

DOI Open Access PDF OpenAlex

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Machine learning force fields: recent advances and technical challenges in cross-disciplinary applications — Junbao Hu, Lifeng Xu, et al. · Scientia Sinica Chimica (2025) | TGRS Research Map | TGRS