With the help of algorithms, it is possible to turn a flow reactor into a
platform for optimizing reaction conditions of chemical reactions to achieve the desired
results, such as yield, efficiency, product cost, etc. Optimization is based on a feedback
loop between the reaction system and the algorithm where the algorithm changes
reaction conditions. Consequently, the result of the reaction is different. Based on how it
changes, the algorithm receives new data from which it determines further steps in
finding the optimal conditions.
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