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Machine learning-driven design of dual-atom catalysts with interpretable descriptors for lithium–sulfur batteries

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Year: 2026
Type: article
Source: Journal of Material Science and Technology
DOI: 10.1016/j.jmst.2026.07.035
Authors: Jianfeng Liu, Hongwei Li, Chenxi Xia, Qiu He, Shasha Wei, Fei Lv, Xue Bai, Yan Zhao
Institutions: Wuhan University, Karlsruhe Institute of Technology, Sichuan University
Language: English

Topic: Advanced Battery Materials and Technologies
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, National Science and Technology Major Project
Awards: G4542633883, G4637511362, G6229433894
OpenAlex ID: W7169876314
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Cites: 29
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