Machine learning for atomic forces in a crystalline solid: Transferability to various temperatures

Title
Machine learning for atomic forces in a crystalline solid: Transferability to various temperatures
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY
Volume 117, Issue 1, Pages 33-39
Publisher
Wiley
Online
2016-10-24
DOI
10.1002/qua.25307

Ask authors/readers for more resources

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

Create your own webinar

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

Create Now