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Robocrystallographer: automated crystal structure text descriptions and analysis

Published online by Cambridge University Press:  15 July 2019

Alex M. Ganose Open the ORCID record for Alex M. Ganose [Opens in a new window]  and
Anubhav Jain
Alex M. Ganose
Affiliation:
Lawrence Berkeley National Laboratory, Energy Technologies Area, 1 Cyclotron Road, Berkeley, CA 94720, USA
Anubhav Jain*
Affiliation:
Lawrence Berkeley National Laboratory, Energy Technologies Area, 1 Cyclotron Road, Berkeley, CA 94720, USA
*
Address all correspondence to Anubhav Jain at [email protected]
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Abstract

Our ability to describe crystal structure features is of crucial importance when attempting to understand structure–property relationships in the solid state. In this paper, the authors introduce robocrystallographer, an open-source toolkit for analyzing crystal structures. This package combines new and existing open-source analysis tools to provide structural information, including the local coordination and polyhedral type, polyhedral connectivity, octahedral tilt angles, component-dimensionality, and molecule-within-crystal and fuzzy prototype identification. Using this information, robocrystallographer can generate text-based descriptions of crystal structures that resemble descriptions written by human crystallographers. The authors use robocrystallographer to investigate the dimensionalities of all compounds in the Materials Project database and highlight its potential in machine learning studies.

Type
Artificial Intelligence Research Letters
Information
MRS Communications , Volume 9 , Issue 3 , September 2019 , pp. 874 - 881
Copyright
Copyright © Materials Research Society 2019 

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