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π Learning: A Performance‐Informed Framework for Microstructural Electrode Design (Adv. Energy Mater. 17/2023)

π Learning: A Performance‐Informed Framework for Microstructural Electrode Design (Adv. Energy... Vol. 13 • No. 17 • May 5 • 2023 www.advenergymat.de aenm202370067_IFC_eonly.indd 1 07/04/23 11:40 AM http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advanced Energy Materials Wiley

π Learning: A Performance‐Informed Framework for Microstructural Electrode Design (Adv. Energy Mater. 17/2023)

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Publisher
Wiley
Copyright
© 2023 Wiley‐VCH GmbH
ISSN
1614-6832
eISSN
1614-6840
DOI
10.1002/aenm.202370067
Publisher site
See Article on Publisher Site

Abstract

Vol. 13 • No. 17 • May 5 • 2023 www.advenergymat.de aenm202370067_IFC_eonly.indd 1 07/04/23 11:40 AM

Journal

Advanced Energy Materials – Wiley

Published: May 1, 2023

Keywords: deep learning; fuel cells; inverse design; numerical modeling; optimization

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