📣 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.

Data-driven learning and prediction of inorganic crystal structures. (2018)

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/10.1039/c8fd00034d

PubMed Identifier: 30043006

Publication URI: http://europepmc.org/abstract/MED/30043006

Type: Journal Article/Review

Volume: 211

Parent Publication: Faraday discussions

ISSN: 1359-6640