Dataset in support of the thesis 'Characterising the energy landscapes of molecular organic crystals'
Dataset in support of the thesis 'Characterising the energy landscapes of molecular organic crystals'
Contains computational data described in the thesis, including:
- Threshold sampling with supercells and non-supercells, parallel trajectories, and convergence monitoring
- Transferable delta-ML potentials trained on CSP structures and re-ranked landscapes
- Geometry optimisation results using MACE potentials trained from CSP structures
For results that were published the computational data is stored with the corresponding publication record (see the linked datasets).
University of Southampton
Butler, Patrick Walter Villers
6e0f7f4a-4cb5-4868-9820-d120c7d905f8
Butler, Patrick Walter Villers
6e0f7f4a-4cb5-4868-9820-d120c7d905f8
Butler, Patrick Walter Villers
(2024)
Dataset in support of the thesis 'Characterising the energy landscapes of molecular organic crystals'.
University of Southampton
doi:10.5258/SOTON/D3155
[Dataset]
Abstract
Contains computational data described in the thesis, including:
- Threshold sampling with supercells and non-supercells, parallel trajectories, and convergence monitoring
- Transferable delta-ML potentials trained on CSP structures and re-ranked landscapes
- Geometry optimisation results using MACE potentials trained from CSP structures
For results that were published the computational data is stored with the corresponding publication record (see the linked datasets).
Archive
Chapter5_data.zip
- Dataset
Archive
Chapter8_data.zip
- Dataset
Archive
Chapter9.zip
- Dataset
More information
Published date: 2024
Identifiers
Local EPrints ID: 492036
URI: http://eprints.soton.ac.uk/id/eprint/492036
PURE UUID: a3131d9b-91b7-497a-a2c8-13108b2cd23e
Catalogue record
Date deposited: 12 Jul 2024 17:17
Last modified: 12 Jul 2024 17:36
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Contributors
Creator:
Patrick Walter Villers Butler
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