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Yucheng Fu

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

SCHOLARLY PAPERS

4

DOWNLOADS

253

TOTAL CITATIONS

5

Scholarly Papers (4)

1.

Computationally efficient models for aqueous organic redox flow batteries

Journal of Energy Storage, volume 134, 2025[10.1016/j.est.2025.118134]
Number of pages: 11 Posted: 23 Oct 2025
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, 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
Downloads 171 (442,467)
Citation 1

Abstract:

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aqueous organic redox flow battery, comercial scale cell, analytical model, Deep Operator Networks

2.

Enhanced Physics-Constrained Deep Neural Networks for Modeling Vanadium Redox Flow Battery

Number of pages: 25 Posted: 23 Mar 2022
University of Minnesota - Twin Cities, Government of the United States of America - Pacific Northwest National Laboratory, Government of the United States of America - Pacific Northwest National Laboratory and University of Illinois at Urbana-Champaign
Downloads 40 (1,183,237)
Citation 2

Abstract:

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redox flow battery, machine learning, energy storage, physics-constrained neural networks, electrochemical model

3.

A hybrid numerical and machine learning framework for evaluating the performance of a 780 cm2 aqueous organic redox flow battery

Journal of Power Sources, volume 635, 2025[10.1016/j.jpowsour.2025.236470]
Number of pages: 37 Posted: 26 Oct 2024 Last Revised: 16 Oct 2025
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
Downloads 36 (1,236,159)
Citation 2

Abstract:

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

4.

Hard-constrained Physics-informed Neural Networks for Interface Problems

Number of pages: 56 Posted: 17 May 2026
University of Illinois at Urbana-Champaign, Lawrence Livermore National Laboratory, affiliation not provided to SSRN, Sandia National Laboratories, Government of the United States of America - Pacific Northwest National Laboratory and Lawrence Livermore National Laboratory
Downloads 6 (1,566,597)

Abstract:

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Interface problems, Hard-constrained PINNs, Domain decomposition, Jump discontinuities, Windowing approach, Buffer approach