Identifying the optimal geometry of continuous flow reactors is a major challenge due to the large available parameter design space. Here the authors combine a machine learning-assisted methodology with computational fluid dynamics and additive manufacturing for the design of more efficient, complex coiled-tube reactors.
- Tom Savage
- Nausheen Basha
- Ehecatl Antonio del Rio Chanona
