Understanding Atmospheric Chemistry Using Graph-Theory, Visualisation and Machine Learning

Ellis, Daniel ORCID: https://orcid.org/0000-0001-6733-7028 (2020) Understanding Atmospheric Chemistry Using Graph-Theory, Visualisation and Machine Learning. PhD thesis, University of York.

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Keywords: Atmosphere, Chemistry, Network, Graph, Mechanism, MCM, Machine Learning, Visualisation, Complex, Modelling
Awarding institution: University of York
Academic Units: The University of York > Chemistry (York)
Identification Number/EthosID (e.g. uk.bl.ethos.123456): uk.bl.ethos.829768
Depositing User: Dr Daniel Ellis
Date Deposited: 07 May 2021 15:15
Last Modified: 21 Jun 2021 09:53

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