Work

Assessment and Application of Universal Machine Learning Interatomic Potentials in Solid-State Electrolyte Research

Year: 2025

Type: article

Source: ACS Materials Letters

DOI: 10.1021/acsmaterialslett.5c00336

Authors: Hongwei Du, Xiang Huang, Jian Hui, Lanting Zhang, Yuanxun Zhou, Hong Wang

Institutions: Shanghai Jiao Tong University, China University of Mining and Technology, Guizhou University of Commerce

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funder: National Key Research and Development Program of China

Award: G8426146700

OpenAlex ID: W4414211464

FWCI: 2.285

Cites: 36

Cited by: 11

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