William H. Green is the Hoyt Hottel Professor in Chemical Engineering at MIT and holds the role of Postdoctoral Officer. His work focuses on computational methods in chemical reaction thermodynamics and kinetics, particularly in combustion chemistry and reaction mechanism generation. He leads the development of the Reaction Mechanism Generator (RMG) software, which aids in addressing questions about alternative fuels and reaction pathways. Education: Ph.D. in Chemical Engineering, University of California, Berkeley, 1988 B.A. in Chemistry, Swarthmore College, 1983 Research Interests: Dr. Green’s research spans computational modeling of chemical kinetics, molecular simulation, and free radical reactions. His group explores combustion chemistry, reaction mechanism automation, and the application of machine learning to predict chemical properties and reaction outcomes. Key areas include polymer fouling in distillation systems, decarbonization of transportation fuels, and solvent effects on reaction kinetics. Publications Trends: Recent work emphasizes multiphase systems, alternative fuel chemistry, and machine learning-driven predictions of thermodynamic and kinetic properties. Notable contributions include detailed kinetic models for fuels like RP-2 and studies on hydrogen carrier systems for long-haul trucking. Awards and Honors: AIChE’s R. H. Wilhelm Award (2019) Inaugural Fellow of the Combustion Institute (2018) AAAS Fellow (2016) C.M. Mohr Teaching Award (2006) Advising and Grants: While specific student advisees are not listed, his group’s work is supported by grants from agencies like the NSF, focusing on predictive kinetics and sustainable energy systems. Collaborations include projects on electrochemical systems and solid electrolyte interphase formation in lithium batteries. Labs and Teams: His research group develops and applies the RMG software package, a key tool for automated reaction mechanism generation used in academia and industry.










