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Can machine learning predict the space group preference of organic molecules?

Can machine learning predict the space group preference of organic molecules?
Can machine learning predict the space group preference of organic molecules?
This dataset contains the data to be shared associated with the publication 'Can machine learning predict the space group preference of organic molecules?' . The dataset contains a zip file of the data used to train the random forest and graph neural network models, and the models themselves.
University of Southampton
Gittins, Hannah
41cf661b-3625-4692-a208-50f9da42a5b8
Day, Graeme
e3be79ba-ad12-4461-b735-74d5c4355636
Gittins, Hannah
41cf661b-3625-4692-a208-50f9da42a5b8
Day, Graeme
e3be79ba-ad12-4461-b735-74d5c4355636

Gittins, Hannah and Day, Graeme (2025) Can machine learning predict the space group preference of organic molecules? University of Southampton doi:10.5258/SOTON/D3912 [Dataset]

Record type: Dataset

Abstract

This dataset contains the data to be shared associated with the publication 'Can machine learning predict the space group preference of organic molecules?' . The dataset contains a zip file of the data used to train the random forest and graph neural network models, and the models themselves.

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README.txt - Dataset
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SG_data.zip - Dataset
Available under License Creative Commons Attribution.
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More information

Published date: 2025

Identifiers

Local EPrints ID: 510789
URI: http://eprints.soton.ac.uk/id/eprint/510789
PURE UUID: cbf51971-2778-4c1c-a06f-88b07747b6d8
ORCID for Hannah Gittins: ORCID iD orcid.org/0009-0003-1032-2871
ORCID for Graeme Day: ORCID iD orcid.org/0000-0001-8396-2771

Catalogue record

Date deposited: 21 Apr 2026 17:03
Last modified: 22 Apr 2026 02:11

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Contributors

Creator: Hannah Gittins ORCID iD
Creator: Graeme Day ORCID iD

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