Uncertainty-Quantified Hybrid Machine Learning/Density Functional Theory High Throughput Screening Method for Crystals

Title
Uncertainty-Quantified Hybrid Machine Learning/Density Functional Theory High Throughput Screening Method for Crystals
Authors
Keywords
-
Journal
Journal of Chemical Information and Modeling
Volume 60, Issue 4, Pages 1996-2003
Publisher
American Chemical Society (ACS)
Online
2020-03-26
DOI
10.1021/acs.jcim.0c00003

Ask authors/readers for more resources

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started