Machine Learning Methods to Predict Density Functional Theory B3LYP Energies of HOMO and LUMO Orbitals

Title
Machine Learning Methods to Predict Density Functional Theory B3LYP Energies of HOMO and LUMO Orbitals
Authors
Keywords
-
Journal
Journal of Chemical Information and Modeling
Volume 57, Issue 1, Pages 11-21
Publisher
American Chemical Society (ACS)
Online
2016-12-30
DOI
10.1021/acs.jcim.6b00340

Ask authors/readers for more resources

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

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