معرفی
Amr Dodin is an Assistant Professor in the Department of Chemistry at Ohio State University, where he leads research at the intersection of theoretical chemistry, quantum physics, and computational modeling. His work combines statistical mechanics, machine learning, and quantum dynamics to address complex problems in chemical reactivity, biological energy regulation, and quantum device design.
He received his BSc and MSc in Chemical Physics and Theoretical Chemistry from the University of Toronto, followed by a PhD in Theoretical Chemistry at MIT under Adam Willard. He later pursued postdoctoral research at UC Berkeley and Lawrence Berkeley National Lab with Phillip Geissler and David Limmer.
- Research Focus 1: Chemical Reactions at Liquid Interfaces – developing computational tools like neural network potentials to study accelerated reactivity at electrochemical and atmospheric interfaces.
- Research Focus 2: Biological Control of Photosynthesis – modeling multi-scale dynamics of nonphotochemical quenching and biophysics of homeostasis.
- Research Focus 3: Noisy Quantum Devices – leveraging noise-induced coherences for robust quantum computing and deriving thermodynamic limits for quantum information systems.
The 15 most recent publications highlight his expertise in interfacial chemistry, nonequilibrium quantum dynamics, and machine learning applications in molecular simulations. His work spans diverse areas including atmospheric aerosol reactions, photosynthetic energy regulation, and quantum thermodynamics.
The Dodin group actively develops thermodynamically consistent multiscale models and machine learning-powered simulations to tackle challenges in nanoscale energy transport, quantum device stability, and environmental chemistry.
