Work

Iterative Machine Learning-Guided Discovery of Transition Metal Compounds as Catalysts for Li–CO 2 and Li–Air Batteries

Year: 2025

Type: article

Source: Journal of the American Chemical Society

DOI: 10.1021/jacs.5c15395

Authors: Ding Ding, Xiaoqi Zhu, Heyu Xiao, Xinyan Liu, Jianli Cheng, Jun Lu, Bin Wang

Institutions: University of Electronic Science and Technology of China, Zhejiang University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: National Natural Science Foundation of China, Department of Science and Technology of Sichuan Province, Central University Basic Research Fund of China

Awards: 具有“限域调控”功能的纤维状光电容器电极的微流控制备及性能研究, G218133036, G2483300168, 锂二氧化碳电池高活性碳/金属基复合正极的可控构筑及其储能机理研究, G3204105600, G3632401575, G5696462140, G6346840561

OpenAlex ID: W4416011918

FWCI: 1.272

Cites: 58

Cited by: 6

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