Work

Coupling Data‐Driven and Reinforcement Learning for Material Development and Device Management in Batteries

Year: 2026

Type: article

Source: Advanced Materials

DOI: 10.1002/adma.72332

Authors: Zihao He, Zijun Wang, Yueyao Dong, Kolesnikov Aleksei Viktorovich, Shuwei Hao, Chunhui Yang, Yuanpeng Liu, Liwei Dong

Institutions: Harbin Institute of Technology, Russian Academy of Sciences, Siberian Branch of the Russian Academy of Sciences, Institute of Semiconductor Physics

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, Fundamental Research Funds for the Central Universities

Awards: G1826241409, G8147878425

OpenAlex ID: W7128087747

FWCI: 5.587

Cites: 175

Cited by: 4

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