Reinforcement learning strategy for the optimization of flow chemistry [Extended abstract]

A model-based RL approach is developed to identify optimal reaction conditions to maximize several key performance indicators such as yield and selectivity. The synthesis of N-Benzylidenebenzylamine in a tubular reactor (flow chemistry) is used to validate the proposed approach. A mathematical model...

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Bibliographic Details
Main Authors: Ashish Yewale, Chris Rielly, Brahim Benyahia
Format: Default Conference proceeding
Published: 2023
Subjects:
Deep Deterministic Policy Gradient
Reinforcement Learning
Flow Chemistry
Reaction Optimization
Artificial Intelligence
Monitoring and Process Analytical Technology (PAT)
Online Access:https://hdl.handle.net/2134/24380458.v1
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https://hdl.handle.net/2134/24380458.v1

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