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]
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
Archive
Chapter6.zip
- Dataset
Archive
Chapter7.zip
- Dataset
Archive
Chapter4.zip
- Dataset
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
Catalogue record
Date deposited: 26 May 2026 17:09
Last modified: 27 May 2026 02:13
Export record
Altmetrics
Contributors
Creator:
Jay Johal
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics