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.
11:30 AM
Luke Pretzie, Jeffrey Greeley
11:48 AM
Qiang Li, Runze Zhao, Yilang Liu, Fanglin Che
12:24 PM
Yinan Xu, Yezhi Jin, Jireh García Sánchez, Gustavo Perez Lemus, Pablo Zubieta, Massimiliano Delferro, Juan J. de Pablo
12:42 PM
Runze Zhao, Qiang Li, Zhu Cheng, Fanglin Che
01:00 PM
Suranjana Banerjee, Ojus Mohan, Abhijit Chatterjee
01:18 PM
Philippe Sautet, Kaustubh Sawant
01:36 PM
Chuhong Lin, Bryan Chak Sing Lee, Uzma Anjum, Asmee Prabhu, Neeru Chaudhary, Rong Xu, Tej Choksi