Work

A Knowledge–Data Dual‐Driven Framework for Predicting the Molecular Properties of Rechargeable Battery Electrolytes

Year: 2024

Type: article

Source: Angewandte Chemie

DOI: 10.1002/ange.202416506

Authors: Yu‐Chen Gao, Yu‐Hang Yuan, Suozhi Huang, Nan Yao, Legeng Yu, Yao‐Peng Chen, Qiang Zhang, Xiang Chen

Institution: Tsinghua University

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, Natural Science Foundation of Beijing Municipality, Beijing Municipal Natural Science Foundation, Key Technologies Research and Development Program

Awards: G2989345794, G3302031904, G3528602873, G537009220

OpenAlex ID: W4403338567

FWCI: 1.71

Cites: 63

Cited by: 18

Related to: 10