Application of the training of density functional theory potentials within machine learning to adsorptions and reaction paths on Platinum surfaces

Published 2020 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Application of the training of density functional theory potentials within machine learning to adsorptions and reaction paths on Platinum surfaces
Authors
Keywords
Neural networks, Density functional theory calculations, Reaction paths, Platinum, Fuel cells
Journal
MATERIALS CHEMISTRY AND PHYSICS
Volume 253, Issue -, Pages 123407
Publisher
Elsevier BV
Online
2020-06-13
DOI
10.1016/j.matchemphys.2020.123407

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search
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.