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Number of items: 4.

Dawson, James 2021. Exploring the use of Machine Learning with extragalactic emission-line surveys, in preparation for the Square Kilometre Array. PhD Thesis, Cardiff University.
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Dawson, James M., Davis, Timothy A. ORCID: https://orcid.org/0000-0003-4932-9379, Gomez, Edward L. ORCID: https://orcid.org/0000-0001-5749-1507 and Schock, Justus 2021. A self-supervised, physics-aware, Bayesian neural network architecture for modelling galaxy emission-line kinematics. Monthly Notices of the Royal Astronomical Society 503 (1) , pp. 574-584. 10.1093/mnras/stab427
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Dawson, James M., Davis, Timothy A. ORCID: https://orcid.org/0000-0003-4932-9379, Gomez, Edward L. ORCID: https://orcid.org/0000-0001-5749-1507, Schock, Justus, Zabel, Nikki and Williams, Thomas G. ORCID: https://orcid.org/0000-0003-1710-3914 2020. Using machine learning to study the kinematics of cold gas in galaxies. Monthly Notices of the Royal Astronomical Society 491 (2) , pp. 2506-2519. 10.1093/mnras/stz3097
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Aparicio Sanchez, Pablo ORCID: https://orcid.org/0000-0003-3719-7241, Dawson, James A., Islam, M. Saiful and de Leeuw, Nora H. ORCID: https://orcid.org/0000-0002-8271-0545 2018. A Computational study of NaVOPO4 polymorphs as cathode materials for Na-Ion batteries: Diffusion, electronic properties and cation doping behavior. Journal of Physical Chemistry C 122 (45) , pp. 25829-25836. 10.1021/acs.jpcc.8b07797
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