Work

Δ-EGNN Method Accelerates the Construction of Machine Learning Potential

Year: 2025

Type: article

Source: The Journal of Physical Chemistry Letters

DOI: 10.1021/acs.jpclett.4c03474

Authors: Jun Huo, Hao Dong

Institutions: Nanjing University, State Key Laboratory of Analytical Chemistry for Life Science

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Government of Jiangsu Province, National Key Research and Development Program of China

Awards: G2865791882, G3043359758, G3367478776, G495110897

OpenAlex ID: W4407792810

FWCI: 1.034

Cites: 41

Cited by: 5

Related to: 10