Machine learning approaches to rediscovery and optimization of hydrogen storage on porous bio-derived carbon

Title
Machine learning approaches to rediscovery and optimization of hydrogen storage on porous bio-derived carbon
Authors
Keywords
Activated carbon, Bio-derived, Data-driven, H, 2, storage, Optimization, Support vector machine (SVM)
Journal
Journal of Cleaner Production
Volume 329, Issue -, Pages 129714
Publisher
Elsevier BV
Online
2021-11-13
DOI
10.1016/j.jclepro.2021.129714

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started