New insights into hydrogen uptake on porous carbon materials via explainable machine learning

Title
New insights into hydrogen uptake on porous carbon materials via explainable machine learning
Authors
Keywords
Machine learning, Explainable AI, Porous carbon, Hydrogen storage, Physisorption, Shapley additive explanations
Journal
CARBON
Volume 179, Issue -, Pages 190-201
Publisher
Elsevier BV
Online
2021-04-15
DOI
10.1016/j.carbon.2021.04.036

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation