Justin Chen

Government of the United States of America - Pacific Northwest National Laboratory

901 D Street

370 L'Enfant Promenade, S.W.

Washington, DC 20024-2115

United States

  • Government of the United States of America - Pacific Northwest National Laboratory

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Scholarly Papers (1)

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A Hybrid Numerical and Machine Learning Framework for Evaluating the Performance of a 780 Cm2 Aqueous Organic Redox Flow Battery

Number of pages: 37 Posted: 26 Oct 2024
Yunxiang Chen, Chao Zeng, Yucheng Fu, Jie Bao, Peiyuan Gao, Justin Chen, Zhijie Xu, Soowhan Kim, Aaron Hollas and Wei Wang
Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory and Government of the United States of America - Pacific Northwest National Laboratory
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Abstract:

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Aqueous organic redox flow battery, battery performance, operation conditions, physicochemical parameters, machine learning