Jeffrey J. Potoff
Affiliations: | 2001- | Chemical Engineering | Wayne State University, Detroit, MI, United States |
Area:
Molecular simulation, Monte Carlo, force field development, thermodynamics, prediction of environmental fateWebsite:
https://engineering.wayne.edu/profile/ai8111Google:
"Jeffrey Joseph Potoff" OR "Jeffrey J. Potoff"Bio:
https://siepmann.chem.umn.edu/jeffrey-j-potoff
https://scholar.google.com/citations?user=Hpxo5G0AAAAJ&hl=en
https://www.proquest.com/openview/0e4370094cd175cecd4fcac748648f22/1
Parents
Sign in to add mentorAthanassios Z. Panagiotopoulos | grad student | 1999 | Cornell (Chemistry Tree) | |
(Monte Carlo simulation of mixture phase behavior: Methods and applications) | ||||
J. Ilja Siepmann | post-doc | 1999-2000 | UMN (Chemistry Tree) |
Children
Sign in to add traineeGanesh Kamath | grad student | 2006 | Wayne State |
Damien A. Bernard-Brunel | grad student | 2007 | Wayne State |
Zeena K. Issa | grad student | 2010 | Wayne State |
Nandhini Sokkalingam | grad student | 2010 | Wayne State |
Navendu Bhatnagar | grad student | 2013 | Wayne State |
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Publications
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Illarionov A, Sakipov S, Pereyaslavets L, et al. (2023) Combining Force Fields and Neural Networks for an Accurate Representation of Chemically Diverse Molecular Interactions. Journal of the American Chemical Society. 145: 23620-23629 |
Crawford B, Timalsina U, Quach CD, et al. (2023) MoSDeF-GOMC: Python Software for the Creation of Scientific Workflows for the Monte Carlo Simulation Engine GOMC. Journal of Chemical Information and Modeling |
Pereyaslavets L, Kamath G, Butin O, et al. (2022) Accurate determination of solvation free energies of neutral organic compounds from first principles. Nature Communications. 13: 414 |
Messerly RA, Soroush Barhaghi M, Potoff JJ, et al. (2019) Histogram-Free Reweighting with Grand Canonical Monte Carlo: Post-simulation Optimization of Non-bonded Potentials for Phase Equilibria Journal of Chemical & Engineering Data. 64: 3701-3717 |
Nejahi Y, Soroush Barhaghi M, Mick J, et al. (2019) GOMC: GPU Optimized Monte Carlo for the simulation of phase equilibria and physical properties of complex fluids Softwarex. 9: 20-27 |
Soroush Barhaghi M, Potoff JJ. (2019) Prediction of phase equilibria and Gibbs free energies of transfer using molecular exchange Monte Carlo in the Gibbs ensemble Fluid Phase Equilibria. 486: 106-118 |
Soroush Barhaghi M, Torabi K, Nejahi Y, et al. (2018) Molecular exchange Monte Carlo: A generalized method for identity exchanges in grand canonical Monte Carlo simulations. The Journal of Chemical Physics. 149: 072318 |
Soroush Barhaghi M, Mick JR, Potoff JJ. (2017) Optimised Mie potentials for phase equilibria: application to alkynes Molecular Physics. 115: 1378-1388 |
Mick JR, Soroush Barhaghi M, Jackman B, et al. (2017) Optimized Mie Potentials for Phase Equilibria: Application to Branched Alkanes Journal of Chemical & Engineering Data. 62: 1806-1818 |
Mick JR, Soroush Barhaghi M, Potoff JJ. (2016) Prediction of Radon-222 Phase Behavior by Monte Carlo Simulation Journal of Chemical & Engineering Data. 61: 1625-1631 |