Machine learning-guided discovery of gas evolving electrode bubble inactivation

Machine learning-guided discovery of gas evolving electrode bubble inactivation

The adverse effects of electrochemical bubbles on the performance of gas-evolving electrodes are well known, but studies on the degree of adhered bubble-caused inactivation, and how inactivation changes during bubble evolution are limited. We study electrode inactivation caused by oxygen evolution w...

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Bibliographic Details
Main Authors: Lake, Jack R, Rufer, Simon, James, Jim, Pruyne, Nathan, Scourtas, Aristana, Schwarting, Marcus, Ambadkar, Aadit, Foster, Ian, Blaiszik, Ben, Varanasi, Kripa K
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:English
Published: Royal Society of Chemistry 2024
Online Access:https://hdl.handle.net/1721.1/157527

Internet

https://hdl.handle.net/1721.1/157527

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