Machine learning and hybrid modelling for reaction engineering : theory and applications /

Over the last decade, there has been a significant shift from traditional mechanistic and empirical modelling into statistical and data-driven modelling for applications in reaction engineering. In particular, the integration of machine learning and first-principle models has demonstrated significan...

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Bibliographic Details

Corporate Author:	Knovel (Firm)
Other Authors:	Zhang, Dongda (Editor), Rio Chanona, E. Antonio del (Editor)
Format:	eBook
Language:	English
Published:	Cambridge : Royal Society of Chemistry, [2024]
Series:	Theoretical and computational chemistry series ; no. 26
Subjects:	Cheminformatics. Chemical reactions > Data processing. Machine learning. Chimio-informatique. Apprentissage automatique. Electronic books.
Online Access:	Connect to the full text of this electronic book