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Computational Investigations of Phase and Sorption Equilibria

Separation processes are major contributors to production cost and energy usage in the chemical, petrochemical, and pharmaceutical industries, and phase and sorption equilibria play a major role in biological, environmental, and geological systems.  Thus, predictive modeling of phase and sorption equilibria is pivotal for improving separation processes and for understanding complex chemical systems.  This presentation will highlight progress in two distinct areas: (i) first principles Monte Carlo simulations (with the interactions described by Kohn-Sham density functional theory) aimed at predicting the unary vapor-liquid equilibria for water, methanol, and methane and the Gibbs free energy of solvation/dissociation for hydrogen chloride; and (ii) large-scale Gibbs ensemble Monte Carlo simulations (with the interactions described by molecular mechanics force fields) to explore liquid-liquid extraction and zeolite-based sorption processes for the separation of ethanol and other oxygenates from aqueous solution. 

Bio

Dr. Siepmann is a Distinguished McKnight University Professor, a Distinguished Teaching Professor, and Vice Chair of the Chemistry Department at the University of Minnesota. He received his PhD from the University of Cambridge in 1992 and was a Postdoc at IBM Zurich Research Lab (1991-92); at Koninklijke/Shell Lab (1992-93); and at the University of Pennsylvania Laboratory for Research on the Structure of Matter (1993-94). His research efforts are driven by the desire to learn about complex chemical systems on the microscopic level and focus on understanding how molecular architecture and composition influence structure, phase behavior, and function of the system of interest. His group is developing transferable force fields and novel Monte Carlo algorithms, which allow for accurate predictions and precise thermodynamic data for a wide range of chemical systems, including those not amenable to conventional simulation approaches and for which experimental data are not readily accessible
Ilja  Siepmann

Speaker

J. Ilja Siepmann

Date

Friday, September 20, 2013

Time

4:00 - 5:00 pm

Location

Laufer Center Room 101