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stk: A python toolkit for supramolecular assembly. (2018)

First Author: Turcani L

Attributed to: Application of machine learning in molecular materials discovery funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1002/jcc.25377

PubMed Identifier: 30247770

Publication URI: http://europepmc.org/abstract/MED/30247770

Type: Journal Article/Review

Volume: 39

Parent Publication: Journal of computational chemistry

Issue: 23

ISSN: 0192-8651