Frank Pinski is a Professor in the Department of Physics at the University of Cincinnati. His research focuses on developing computational tools to study reaction pathways and energy barriers in molecular systems, particularly addressing rare events in barrier-limited processes. He has contributed to hybrid Monte Carlo algorithms, path sampling methods, and statistical mechanics frameworks to analyze complex systems like alloys and quantum fluids. Education: Ph.D. in Physics from the University of Minnesota (1977). Research Interests: Computational chemistry, materials science, and theoretical physics. Specific areas include molecular dynamics simulations, transition path sampling, and first-principles calculations of atomic correlations in metallic alloys. His work addresses challenges in sampling rare events and developing efficient algorithms for high-dimensional systems. Grants: NSF Grant DMR-9531223-002 (1996–1999): $245,000 for first principles calculations of atomic correlations in metallic alloys. Department of Education Grant P200A50053-97 (1996–1999): $146,777 for physics graduate fellowships. NSF Grant PHY 1005530 (2010–2013): $437,445 for enabling GPU-based physics research. Advising & Grants: Served as Principal Investigator (PI) on two major grants and collaborator on a third, focusing on computational methodologies and material science applications. Labs/Teams: Collaborates with students and researchers on computational tools for molecular systems, though no specific lab names are listed.
