Towards a greener electrosynthesis: pairing machine learning and 3D printing for rapid optimisation of anodic trifluoromethylation
Nipun Kumar Gupta, Yilin Guo, Soon Yee Chang, Jing Lin, Zi Hui Jonathan Khoo, Riko I Made, Zi‐En Ooi, Carina Yi Jing Lim, Chow Hern Lee, M. Sivapaalan, Yee‐Fun Lim, Edwin Khoo, Wen Feng Lu, Yanwei Lum, Albertus D. Handoko
Abstract
Applying electro-organic synthesis in flow configuration can potentially reduce the pharmaceutical industry's carbon footprint and simplify the reaction scale-up.
Topics & Concepts
ElectrosynthesisTrifluoromethylationCarbon footprintPairingProcess engineeringScale (ratio)Computer scienceAnodeFootprintBiochemical engineeringNanotechnologyChemistryEngineeringMaterials scienceOrganic chemistryElectrochemistryGeologyElectrodePhysicsGreenhouse gasOceanographyPaleontologySuperconductivityAlkylTrifluoromethylQuantum mechanicsPhysical chemistryCO2 Reduction Techniques and CatalystsRadical Photochemical ReactionsFluorine in Organic Chemistry