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Many-Body Methods for Surface Chemistry Come of Age: Achieving Consensus with Experiments

[Image: see text] 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 ne...

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Autores principales: Shi, Benjamin X., Zen, Andrea, Kapil, Venkat, Nagy, Péter R., Grüneis, Andreas, Michaelides, Angelos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683001/
https://www.ncbi.nlm.nih.gov/pubmed/37948071
http://dx.doi.org/10.1021/jacs.3c09616
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author Shi, Benjamin X.
Zen, Andrea
Kapil, Venkat
Nagy, Péter R.
Grüneis, Andreas
Michaelides, Angelos
author_facet Shi, Benjamin X.
Zen, Andrea
Kapil, Venkat
Nagy, Péter R.
Grüneis, Andreas
Michaelides, Angelos
author_sort Shi, Benjamin X.
collection PubMed
description [Image: see text] 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.
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spelling pubmed-106830012023-11-30 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 J Am Chem Soc [Image: see text] 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. American Chemical Society 2023-11-10 /pmc/articles/PMC10683001/ /pubmed/37948071 http://dx.doi.org/10.1021/jacs.3c09616 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Shi, Benjamin X.
Zen, Andrea
Kapil, Venkat
Nagy, Péter R.
Grüneis, Andreas
Michaelides, Angelos
Many-Body Methods for Surface Chemistry Come of Age: Achieving Consensus with Experiments
title Many-Body Methods for Surface Chemistry Come of Age: Achieving Consensus with Experiments
title_full Many-Body Methods for Surface Chemistry Come of Age: Achieving Consensus with Experiments
title_fullStr Many-Body Methods for Surface Chemistry Come of Age: Achieving Consensus with Experiments
title_full_unstemmed Many-Body Methods for Surface Chemistry Come of Age: Achieving Consensus with Experiments
title_short Many-Body Methods for Surface Chemistry Come of Age: Achieving Consensus with Experiments
title_sort many-body methods for surface chemistry come of age: achieving consensus with experiments
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683001/
https://www.ncbi.nlm.nih.gov/pubmed/37948071
http://dx.doi.org/10.1021/jacs.3c09616
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