A machine learning framework for the analysis and prediction of catalytic activity from experimental data

Published 2019 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A machine learning framework for the analysis and prediction of catalytic activity from experimental data
Authors
Keywords
Machine learning, Data analysis, Catalysis, Predictability, High-dimensional
Journal
APPLIED CATALYSIS B-ENVIRONMENTAL
Volume 263, Issue -, Pages 118257
Publisher
Elsevier BV
Online
2019-10-14
DOI
10.1016/j.apcatb.2019.118257

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

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
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.