234 New Developments in Computational Catalysis II


Description:
Electronic structure theory has matured as a widely employed tool for predicting and characterizing properties of materials and enhancing mechanistic understanding of chemical reactions. Nevertheless, typically employed approaches, such as local or semi-local density functional theory, often fail for key systems of interest in catalysis. In particular, correlated electrons in transition-metal complexes are difficult to describe without careful consideration of correlation and localization (e.g. as reintroduced in DFT+U or in correlated wavefunction theory). Equally importantly, physisorption events are often dominated by non-covalent interactions that are not directly treated in standard semi-local DFT and instead necessitate reincorporation through nonlocal descriptions of correlation. This session solicits contributions that develop or utilize methods that aim to go beyond standard semi-local DFT.

Sponsor:
Catalysis and Reaction Engineering Division
Co-Sponsor(s):
Computational Molecular Science and Engineering Forum (21)


Chair:
Eric Walker
Postdoctoral Fellow
University of Michigan
Dept. of Chemistry
301 South Main Street
Ann Arbor, MI
29208
Email: ericwalk@umich.edu

Co-Chair:
Masoudeh Ahmadi
Postdoc
Conn Center for Renewable Energy Research, University of Louisville
Chemical Eng
louisville, KY
40241
Email: masoudeh.ahmadi@louisville.edu


Papers:
Uncovering Reaction Maps to Promote Active Catalysis
Paul M. Zimmerman, University of Michigan
Liquid Phase Modeling in Heterogeneous Catalysis
Mohammad Saleheen, University of South Carolina; Andreas Heyden, University of South Carolina
Improving the Initial Guess for a Nudged Elastic Band Calculation By Incorporating Chemical Intuition
Kyle Groden, Washington State University; Jean-Sabin McEwen, Washington State University
Machine Learning Molecular Dynamics for Understanding Nonadiabatic Surface Reactions
Jiamin Wang, Virginia Polytechnic Institute and State University; Hongliang Xin, Virginia Polytechnic Institute and State University
Mapping the Degree of Rate Control Using Automated Construction of Microkinetic Models with Rmg-Cat
Emily Mazeau, Northeastern University; David Farina Jr., Northeastern University; Richard H. West, Northeastern University; Katrin Blondal, Brown University; C. Franklin Goldsmith, Brown University
Abstract Submissions Closed
See more of this Group/Topical: Catalysis and Reaction Engineering Division