Data-Centric Micro-Reaction Engineering for a Sustainable Future

Ryan Hartman from New York University

Our laboratory investigates impactful problems related to sustainability through application of chemical reaction engineering principles.  There is a need for autonomous laboratory-scale flow reactors that can high-throughput screen and generate sufficient experimental data to decipher reaction kinetics and mechanisms.  Integration of in-situ spectroscopic methods with microfluidics and their automation creates the possibility of computers working synchronously with a handful of key experiments.  Thus, the design of artificial intelligence and machine learning methods with continuous-flow microreactors for faster discovery has become a central theme in most of our research.  Rethinking how we perform laboratory experiments can reduce the chemical waste, facilities energy requirements, make experiments safer, and it can yield molecular-scale information needed for predictive models in applications across the chemicals, energy, healthcare, and materials industries.  This three-part seminar will summarize our recent findings in i) materials synthesis and processing science, ii) catalytic olefin polymerizations, and iii) electrification of chemical synthesis by microplasmas, with emphasis placed on the energy transition for a sustainable future.