📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Gaussian Process Regression for Materials and Molecules. (2021)

First Author: Deringer VL
Attributed to:  Support for the UKCP consortium funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1021/acs.chemrev.1c00022

PubMed Identifier: 34398616

Publication URI: http://europepmc.org/abstract/MED/34398616

Type: Journal Article/Review

Volume: 121

Parent Publication: Chemical reviews

Issue: 16

ISSN: 0009-2665