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Exploring chemical space for computational materials discovery dataset

Exploring chemical space for computational materials discovery dataset
Exploring chemical space for computational materials discovery dataset
Dataset associated with the research performed as part of the doctoral thesis: Johal, J (2026). Exploring chemical space for computational materials discovery. University of Southampton
crystal structure prediction, materials discovery, evolutionary algorithm, chemical space exploration
University of Southampton
Johal, Jay
8e4d1cd8-2b29-42b4-8e32-0861e022dec8
Day, Graeme M.
e3be79ba-ad12-4461-b735-74d5c4355636
Johal, Jay
8e4d1cd8-2b29-42b4-8e32-0861e022dec8
Day, Graeme M.
e3be79ba-ad12-4461-b735-74d5c4355636

Johal, Jay (2026) Exploring chemical space for computational materials discovery dataset. University of Southampton doi:10.5258/SOTON/PG/D274 [Dataset]

Record type: Dataset

Abstract

Dataset associated with the research performed as part of the doctoral thesis: Johal, J (2026). Exploring chemical space for computational materials discovery. University of Southampton

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More information

Published date: 2026
Keywords: crystal structure prediction, materials discovery, evolutionary algorithm, chemical space exploration

Identifiers

Local EPrints ID: 511664
URI: http://eprints.soton.ac.uk/id/eprint/511664
PURE UUID: 537b6083-467d-441b-af8c-8b8de1731fdf
ORCID for Jay Johal: ORCID iD orcid.org/0000-0001-8489-4803
ORCID for Graeme M. Day: ORCID iD orcid.org/0000-0001-8396-2771

Catalogue record

Date deposited: 26 May 2026 17:09
Last modified: 27 May 2026 02:13

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Contributors

Creator: Jay Johal ORCID iD
Research team head: Graeme M. Day ORCID iD

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