Deep-learning-assisted insights into molecular transport in heterogeneous electrolyte films on electrodes-Reference-Cited by-同舟云学术

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Deep-learning-assisted insights into molecular transport in heterogeneous electrolyte films on electrodes

Published:2024-09 Issue: Volume: Page:102196
ISSN:2666-3864
Container-title:Cell Reports Physical Science
language:en
Short-container-title:Cell Reports Physical Science

Author:

Fan Linhao,Zuo Ruiwang,Zhou Yumeng,Ran Aoxin,Li Xing,Du Qing,Jiao Kui^ORCID

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Reference57 articles.

1. Designing the next generation of proton-exchange membrane fuel cells;Jiao;Nature,2021

2. Deep learning of experimental electrochemistry for battery cathodes across diverse compositions;Zhong;Joule,2024

3. Ampere-level membrane-less water electrolysis enabled by rose-petal-effect-mimetic interface;Deng;Joule,2023

4. Fuel cell stack redesign and component integration radically increase power density;Tongsh;Joule,2024

5. Water and Thermal Management of Proton Exchange Membrane Fuel Cells;Jiao,2021

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