Benchmark studies for adsorption bond energies to transition metal surfaces

ORAL

Abstract

The accurate prediction of adsorption energies for molecules on metal surfaces is a challenging subject in condensed matter physics, applied catalysis and physical chemistry research. The use of computational methods such as density functional theory (DFT) calculations to describe surface-adsorbate bond strength is increasing. Often these adsorption energies are used to study heterogeneous catalysis in thermal and electrochemical reactions. Here, we compare the structures and energetics for small gaseous molecules adsorbed to various transition-metal surfaces from density functionals with experimental results [1], with focus on MetaGGAs such as the strongly constrained and appropriately normed (SCAN) [2] density functional that recognizes the different chemical bonds.


[1] J. Welleonorff, et. al. A benchmark database for adsorption bond energies to transition metal surfaces and comparison to selected DFT functionals, Surface Science, 640 (2015) 36-44

[2] J. Sun, et. al. Strongly Constrained and Appropriately Normed Semilocal Density Functional, Phys. Rev. Lett. 115, 036402 (2015).

Presenters

  • Manish Kothakonda

    Tulane University

Authors

  • Manish Kothakonda

    Tulane University

  • Jinliang Ning

    Tulane University, Department of Physics and Engineering Physics, Tulane University

  • Yubo Zhang

    Tulane University, Department of Physics and Engineering Physics, Tulane University

  • James Furness

    Tulane, Tulane University, Department of Physics and Engineering Physics, Tulane University

  • Jianwei Sun

    Tulane University, Department of Physics and Engineering Physics, Tulane University