Advancing vanadium redox flow battery analysis: a deep learning approach for high-throughput 3D visualization and bubble quantification
Digital Discovery, vol. 4, pp. 2724–2736
Abstract
This work presents a deep learning framework for high-throughput 3D analysis of vanadium redox flow batteries, enabling rapid bubble quantification and interactive visualization from synchrotron X-ray tomography.
Authors 6
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Affiliation as printed
Centre for Advanced Simulation and Analytics (CASA), Simulation and Data Science Lab for Energy Materials (SDL-EM), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
Theory and Computation of Energy Materials (IET-3), Institute of Energy Technologies, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
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Affiliation as printed
Theory and Computation of Energy Materials (IET-3), Institute of Energy Technologies, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
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Karlsruhe Institute of Technology · Friedrich-Alexander-Universität Erlangen-Nürnberg · Helmholtz-Institute Ulm
Affiliation as printed
Department of Electrical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany
Karlsruhe Institute Technology, Helmholtz Institute Ulm, 89081Ulm, Germany
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Michael Hermann Eikerling Aachen Chair of Theory and Computation of Energy Materials Faculty of Georesources and Materials Engineering
Forschungszentrum Jülich · RWTH Aachen University
Affiliation as printed
Centre for Advanced Simulation and Analytics (CASA), Simulation and Data Science Lab for Energy Materials (SDL-EM), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
Chair of Theory and Computation of Energy Materials, Faculty of Georesources and Materials Engineering, RWTH Aachen University, 52062 Aachen, Germany
Theory and Computation of Energy Materials (IET-3), Institute of Energy Technologies, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
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Affiliation as printed
Centre for Advanced Simulation and Analytics (CASA), Simulation and Data Science Lab for Energy Materials (SDL-EM), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
Theory and Computation of Energy Materials (IET-3), Institute of Energy Technologies, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
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Affiliation as printed
Centre for Advanced Simulation and Analytics (CASA), Simulation and Data Science Lab for Energy Materials (SDL-EM), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
Theory and Computation of Energy Materials (IET-3), Institute of Energy Technologies, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
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