Work

The artificial intelligence-empowered electrolyte innovations: emerging polymer electrolyte for rechargeable batteries

Year: 2026

Type: article

Source: Journal of Energy Chemistry

DOI: 10.1016/j.jechem.2026.09.052

Authors: Zhen-Ning Guo, Kai-Hua Meng, Xiao-Hui Zhang, Yu-Chen Gao, Xiang Chen, Yu-Hang Yuan, Yan-Bin Gao, Ming-Zhe Shi, Ying-Ting Qiu, Dai-Wei Wang, Rui Zhang, Chen-Zi Zhao, Chao Zhang, Sang-Young Lee, Qiang Zhang

Institutions: Tsinghua University, Southern Methodist University, Yonsei University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Knut och Alice Wallenbergs Stiftelse, Natural Science Foundation of Beijing Municipality, Beijing Municipal Science and Technology Commission, Tsinghua Initiative Scientific Research Program, Shenzhen Science and Technology Innovation Program

Awards: G1203620298, G173220340, G2279289983, G2722519041, G4024853766, G4654419959, G5652396837, G6044641374, 固态锂硫电池硫正极硫化锂形核-生长机制研究, 低电解液锂硫电池中多硫化物液固转化反应机制研究, G8325872158, G8929377118, G9000959850, G941981576

OpenAlex ID: W7220683594

FWCI:

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