Published in

Royal Society of Chemistry, Chemical Science, 35(9), p. 7069-7077, 2018

DOI: 10.1039/c8sc01949e

Links

Tools

Export citation

Search in Google Scholar

Machine learning meets volcano plots: computational discovery of cross-coupling catalysts

Journal article published in 2018 by Benjamin Meyer, Boodsarin Sawatlon ORCID, Stefan Heinen, O. Anatole von Lilienfeld, Clémence Corminboeuf ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Red circle
Preprint: archiving forbidden
Green circle
Postprint: archiving allowed
Upload
Green circle
Published version: archiving allowed
Upload
Policy details
Data provided by SHERPA/RoMEO

Abstract

The application of modern machine learning to challenges in atomistic simulation is gaining attraction.