Work

Artificial intelligence-driven electrolyte chemistry for lithium-ion batteries: mechanisms, progress and strategic perspectives

Year: 2026

Type: article

Source: Energy & Environmental Science

DOI: 10.1039/d6ee01488g

Authors: Jian Chen, Nan Qin, Fei Pei, Yi Zhang, Yun Qiao, Yifei Yu, Yunhui Huang

Institutions: State Key Laboratory of Materials Processing and Die & Mould Technology, Huazhong University of Science and Technology, Shanghai University

Language: English

Topic: Advancements in Battery Materials

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hubei Province

Awards: G1970632087, G3008629775, G4953589451, G5942158785

OpenAlex ID: W7169860378

FWCI: 1.705

Cites: 361

Cited by: 1

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