Kinetic study in an automatic continuous‐flow photochemical platform with machine learning

In this work, we first solved the partial differential equation of the one‐dimensional axial diffusion model in an open‐source platform, that is, FEniCS, to explore the influence of the axial dispersion on the reaction yield‐to‐time profile. Then, we built an automatic platform, which included a pho...

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Veröffentlicht in:	AIChE journal Jg. 69; H. 9
Hauptverfasser:	Wang, Yuhan, Shen, Chong, Qiu, Min, Shang, Minjing, Su, Yuanhai
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken, USA John Wiley & Sons, Inc 01.09.2023 American Institute of Chemical Engineers
Schlagworte:	automation Axial diffusion Genetic algorithms kinetics Light sources Machine learning Methylene blue microreactors Optimization Partial differential equations Photochemical machining Photochemicals photochemistry Photolysis Reaction mechanisms
ISSN:	0001-1541, 1547-5905
Online-Zugang:	Volltext
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