AVS 64th International Symposium & Exhibition | |
Fundamental Discoveries in Heterogeneous Catalysis Focus Topic | Tuesday Sessions |
Session HC+SS-TuA |
Session: | Advances in Theoretical Models and Simulations of Heterogeneously Catalyzed Reactions |
Presenter: | Tao Jiang, University of Central Florida |
Authors: | T. Jiang, University of Central Florida T.B. Rawal, University of Central Florida D. Le, University of Central Florida R. Blair, University of Central Florida T.S. Rahman, University of Central Florida |
Correspondent: | Click to Email |
Defect-laden hexagonal boron nitride (dh-BN) has recently been shown [1] to be an excellent metal-free hydrogenation catalyst. Here, we employ density functional theory based calculations, including van der Waals interaction, to examine the reactivity of single layer dh-BN with N vacancy (VN) or N substitution by B (BN), toward the CO2 hydrogenation to alcohols. To begin with, we find that CO2 binds strongly at the B sites (near the vacancy) with binding energy of 1.66 eV. Next, we find that formic acid, an important reaction intermediate, chemisorbs molecularly on dh-BN with these defects (VN and BN) with adsorption energy of -1.82 eV and -0.83 eV, respectively. Through detailed comparison of the adsorption geometries and energetics of the various reactants and intermediates, we conclude that dh-BN with VN defect, rather than BN, is more suitable a catalyst for purposes here. The potential energy for the decomposition of formic acid (HCOOH→HCO + OH) on dh-BN with VN is found to be -1.12 eV, indicating an exothermic reaction. The activation barrier for this reaction turns out to be 0.39 eV. We present the reaction pathways and their energetics for further hydrogenation of formic acid to form methanol or to dissociate into CO and H2O. Reaction rates and turn over frequencies are next calculated using kinetic Monte Carlo simulations to obtain evaluate the propensity of dh-BN to serve as a catalyst for CO2 hydrogenation.
[1] D. Nash et al., ACS Omega, 1, 1343 (2016).
Work supported in part by NSF grant CHE-1465105.