Machine learning meets continuous flow chemistry:  Automated process optimization  | AISC

Machine learning meets continuous flow chemistry: Automated process optimization | AISC

Published on ● Video Link:

Duration: 42:50
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For slides and more information on the paper, visit

Speaker: Dr. Alexei Lapkin; Discussion Facilitator: Mehrshad Esfahani

Automated development of chemical processes requires access to sophisticated algorithms for multi-objective optimization, since single-objective optimization fails to identify the trade-offs between conflicting performance criteria.
This study reports implementation of a new multi-objective machine learning optimization algorithm for self-optimization

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