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Machine Learning and Hybrid Modelling for Reaction Engineering: Theory and Applications

Machine Learning and Hybrid Modelling for Reaction Engineering: Theory and Applications - Hardcover

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Availability:In StockContributor:Dongda Zhang (Editor), Ehecatl Antonio del R?o Chanona (Editor)Series:Theoretical and Computational Chemistry #26Publish date:2023-12-20Pages:440
Language:EnglishPublisher:Royal Society of ChemistryISBN-13:9781839165634ISBN-10:1839165634UPC:9781839165634Book Category:Science, Technology & EngineeringBook Subcategory:Chemistry, Chemical & BiochemicalBook Topic:Computational & Molecular ModelingSize:9.21 x 6.14 x 1.31 inchesWeight:2.2818Product ID:SCC0CYV3PD

Machine Learning and Hybrid Modelling for Reaction Engineering: Theory and Applications

Machine Learning and Hybrid Modelling for Reaction Engineering summarises latest research and fills a gap in methodology development of hybrid models for reaction engineering applications.

Series: Theoretical and Computational Chemistry #26
Language:EnglishPublisher:Royal Society of ChemistryISBN-13:9781839165634ISBN-10:1839165634UPC:9781839165634Book Category:Science, Technology & EngineeringBook Subcategory:Chemistry, Chemical & BiochemicalBook Topic:Computational & Molecular ModelingSize:9.21 x 6.14 x 1.31 inchesWeight:2.2818Product ID:SCC0CYV3PD

Dr. Dongda Zhang is a Lecturer at Department of Chemical Engineering, the University of Manchester. His research focuses on the application of hybrid modelling and data intelligence in complex reaction systems. These include chemical and biochemical process modelling, optimisation, control, and data analytics. He completed his PhD research at the University of Cambridge within two years and...

Publisher: Royal Society of Chemistry

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