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.
02:30 PM
Shivam Chaturvedi, Amar Deep Pathak, Nishant Sinha, Ananth Govind Rajan
02:48 PM
Zisheng Zhang, Frank Abild-Pedersen
03:06 PM
Kirk Badger, David Bross, Khachik Sargsyan, Branko Ruscic, C Franklin Goldsmith
03:24 PM
Dongyue Liang, Alexander V. Mironenko
04:00 PM
Matthew S. Johnson, Lars Schaaf, Alvaro Vazquez-Mayagoitia, Gabor Csanyi, Judit Zádor
04:18 PM
Youbin Kim, C Franklin Goldsmith
04:36 PM
Zisheng Zhang, Frank Abild-Pedersen