Combining computational fluid dynamics, photon fate simulation and machine learning to optimize continuous-flow photocatalytic systems
Gabriela Xavier de Oliveira, Simon Kuhn, Humberto Gracher Riella, Cíntia Soares, Natan Padoin
Abstract
Photoredox catalysis is a thriving field in chemistry. Microfluidics bring advantages for light-mediated reactions. CFD, ray-tracing, and machine learning hold promise in advancing microflow techniques.
Topics & Concepts
MicrofluidicsPhotocatalysisComputational fluid dynamicsThrivingTracingFlow chemistryComputer scienceFluid dynamicsPhotoredox catalysisField (mathematics)Continuous flowPhotonNanotechnologyBiochemical engineeringCatalysisChemistryMaterials scienceEngineeringMechanicsPhysicsAerospace engineeringOpticsPure mathematicsSocial scienceBiochemistrySociologyOperating systemMathematicsInnovative Microfluidic and Catalytic Techniques InnovationBiosensors and Analytical DetectionAdvanced Photocatalysis Techniques