A database of molecular properties integrated in the Materials Project

Evan Walter Clark Spotte-Smith; Orion Archer Cohen; Samuel M. Blau; Jason M. Munro; Ruoxi Yang; Rishabh D. Guha; Hetal D. Patel; Sudarshan Vijay; Patrick Huck; Ryan Kingsbury; Matthew K. Horton; Kristin A. Persson

doi:10.1039/D3DD00153A

A database of molecular properties integrated in the Materials Project†

Evan Walter Clark Spotte-Smith,

*^ab Orion Archer Cohen,^c Samuel M. Blau,

^d Jason M. Munro,^a Ruoxi Yang,^a Rishabh D. Guha,^a Hetal D. Patel,^ab Sudarshan Vijay,‡^b Patrick Huck,

^a Ryan Kingsbury,

^e Matthew K. Horton^f and Kristin A. Persson

*^bg

Author affiliations

* Corresponding authors

^a Materials Science Division, Lawrence Berkeley National Laboratory (LBNL), 1 Cyclotron Road, Berkeley, CA, USA
E-mail: espottesmith@gmail.com

^b Department of Materials Science and Engineering, University of California, Berkeley (UC Berkeley), 210 Hearst Memorial Mining Building, Berkeley, CA, USA
E-mail: kapersson@lbl.gov

^c Department of Chemistry, UC Berkeley, 419 Latimer Hall, Berkeley, CA, USA

^d Energy Storage and Distributed Resources, LBNL, 1 Cyclotron Road, Berkeley, CA, USA

^e Department of Civil and Environmental Engineering, Princeton University, E209A Engineering Quadrangle, Princeton, New Jersey 08544, USA

^f Microsoft Research, Microsoft Building 99, 14820 NE 36th Street, Redmond, Washington, USA

^g Molecular Foundry, LBNL, 1 Cyclotron Road, Berkeley, CA, USA

Abstract

Advanced chemical research is increasingly reliant on large computed datasets of molecules and reactions to discover new functional molecules, understand chemical trends, train machine learning models, and more. To be of greatest use to the scientific community, such datasets should follow FAIR principles (i.e. be findable, accessible, interoperable, and reusable). In this work, we present a FAIR expansion of the Materials Project database (“MPcules”) that adds more than 170 000 molecules studied using density functional theory (DFT) to the existing data, which comprises crystalline solids. MPcules is a diverse collection of DFT-calculated molecular properties, with an emphasis on reactive, open-shell, and charged species—relevant for studying reaction pathways—and a wide array of structural, electronic, vibrational, and thermodynamic properties. This database can be queried through an OpenAPI-compliant application programming interface and a featureful web application. We continue to expand the data available on MPcules and encourage contributions from the community.

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A database of molecular properties integrated in the Materials Project†

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