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Many-Body Methods for Surface Chemistry Come of Age: Achieving Consensus with Experiments.
Shi, Benjamin X; Zen, Andrea; Kapil, Venkat; Nagy, Péter R; Grüneis, Andreas; Michaelides, Angelos.
Affiliation
  • Shi BX; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, CB2 1EW Cambridge, U.K.
  • Zen A; Dipartimento di Fisica Ettore Pancini, Università di Napoli Federico II, Monte S. Angelo, I-80126 Napoli, Italy.
  • Kapil V; Department of Earth Sciences, University College London, Gower Street, WC1E 6BT London, U.K.
  • Nagy PR; Yusuf Hamied Department of Chemistry, University of Cambridge, Lensfield Road, CB2 1EW Cambridge, U.K.
  • Grüneis A; Department of Physical Chemistry and Materials Science, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Müegyetem rkp. 3, H-1111 Budapest, Hungary.
  • Michaelides A; HUN-REN-BME Quantum Chemistry Research Group, Müegyetem rkp. 3, H-1111 Budapest, Hungary.
J Am Chem Soc ; 145(46): 25372-25381, 2023 Nov 22.
Article in En | MEDLINE | ID: mdl-37948071
ABSTRACT
The adsorption energy of a molecule onto the surface of a material underpins a wide array of applications, spanning heterogeneous catalysis, gas storage, and many more. It is the key quantity where experimental measurements and theoretical calculations meet, with agreement being necessary for reliable predictions of chemical reaction rates and mechanisms. The prototypical molecule-surface system is CO adsorbed on MgO, but despite intense scrutiny from theory and experiment, there is still no consensus on its adsorption energy. In particular, the large cost of accurate many-body methods makes reaching converged theoretical estimates difficult, generating a wide range of values. In this work, we address this challenge, leveraging the latest advances in diffusion Monte Carlo (DMC) and coupled cluster with single, double, and perturbative triple excitations [CCSD(T)] to obtain accurate predictions for CO on MgO. These reliable theoretical estimates allow us to evaluate the inconsistencies in published temperature-programed desorption experiments, revealing that they arise from variations in employed pre-exponential factors. Utilizing this insight, we derive new experimental estimates of the (electronic) adsorption energy with a (more) precise pre-exponential factor. As a culmination of all of this effort, we are able to reach a consensus between multiple theoretical calculations and multiple experiments for the first time. In addition, we show that our recently developed cluster-based CCSD(T) approach provides a low-cost route toward achieving accurate adsorption energies. This sets the stage for affordable and reliable theoretical predictions of chemical reactions on surfaces to guide the realization of new catalysts and gas storage materials.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Am Chem Soc Year: 2023 Type: Article Affiliation country: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Am Chem Soc Year: 2023 Type: Article Affiliation country: United kingdom