About the Company
DeepChemIQ is an AI-powered computational catalysis platform focused on accelerating the discovery and design of advanced materials. By integrating density functional theory (DFT), Microkinetic Modeling (MKM), computational fluid dynamics (CFD), forward and inverse AI co-design, and automated workflows, it enables faster, more efficient catalyst, reactor, and chemical process development while significantly reducing risk, time, cost, and experimental iteration in the innovation process.
About the Founder
Dr. Fanglin Che is an Associate Professor in Chemical Engineering at Worcester Polytechnic Institute. Her research focuses on physics-informed AI, multiscale modeling, and AI-driven catalyst discovery. She has received numerous prestigious awards, including the DOE Early Career Award, NSF CAREER Award, Amazon Research Award, and recognition as an Outstanding Female Researcher. She leads cutting-edge work at the intersection of catalysis and AI.