Predicting Density Functional Theory-Quality Nuclear Magnetic Resonance Chemical Shifts via Δ-Machine Learning

Published 2021 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Predicting Density Functional Theory-Quality Nuclear Magnetic Resonance Chemical Shifts via Δ-Machine Learning
Authors
Keywords
-
Journal
Journal of Chemical Theory and Computation
Volume -, Issue -, Pages -
Publisher
American Chemical Society (ACS)
Online
2021-01-14
DOI
10.1021/acs.jctc.0c00979

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

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
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.