Multi-scale computational methods, including electronic structure calculations, microkinetic modeling, molecular dynamics, Monte Carlo, etc., are widely used to predict and characterize properties of catalysts and chemical reaction mechanisms. This session solicits contributions that utilize or develop new approaches to address shortcomings in the current state of the art, improving upon the predictive ability of computational methods. Examples include enhancements to methods such as density functional theory (e.g. functional development); creation of novel/improved catalyst models; multi-scale approaches; approaches to interpret large quantities of computational data; novel approaches for modeling multiphase interfaces and amorphous materials; methods that reduce computational cost. Studies employing existing methodology for novel catalysts/chemistries are not appropriate for this session.
08:00 AM
Aaron Garrison, Heather Kulik
08:18 AM
08:36 AM
Roland St. Michel, Jacob Toney, Ilia Kevlishvili, Aaron Garrison, Daniel Chu, Sukrit Mukhopadhyay, Matthew Jeletic, Heather Kulik
08:54 AM
09:12 AM
Jiankai Ge, Kevin Adams, Baron Peters
09:30 AM
Purva Paranjape, Jeffrey Greeley
09:48 AM
Su Sun, Matthew S. Johnson, Manish Kumar Kothakonda, Colin Gallagher, Qing Zhao, Nich Nearyrat Phalkun, Magda Barecka, Richard West
10:06 AM
Nav Nidhi Rajput, Kuldeepsinh Raj, Matthew Bliss