Use this URL to cite or link to this record in EThOS: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500929 |
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Title: | Automated discovery of chemical reaction networks | ||||
Author: | English, Philip J. |
ISNI:
0000 0004 2669 4020
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Awarding Body: | University of Newcastle Upon Tyne | ||||
Current Institution: | University of Newcastle upon Tyne | ||||
Date of Award: | 2009 | ||||
Availability of Full Text: |
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Abstract: | |||||
The identification of models of chemical reaction networks is of importance in the safe, economic and environmentally sensitive development of chemical products. Qualitative models of a network of interactions are used in the design of drugs and other therapies. Quantitative models of the behaviour of reaction networks are the foundation of the science of reaction engineering (e.g. see Levenspiel, 1999); allowing the use of simulation software in the rapid development of commercial scale production processes. This work extends the existing methods reported by Burnham et al. (2006); adopting the global basis fonction method first applied to this problem by Crampin et al. (2004a).
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Supervisor: | Not available | Sponsor: | Not available | ||
Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||
EThOS ID: | uk.bl.ethos.500929 | DOI: | Not available | ||
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