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Title: DFT-Based Method for More Accurate Adsorption Energies: An Adaptive Sum of Energies from RPBE and vdW Density Functionals

Abstract

In recent years, the popularity of density functional theory with periodic boundary conditions (DFT) has surged for the design and optimization of functional materials. However, no single DFT exchange–correlation functional currently available gives accurate adsorption energies on transition metals both when bonding to the surface is dominated by strong covalent or ionic bonding and when it has strong contributions from van der Waals interactions (i.e., dispersion forces). Here we present a new, simple method for accurately predicting adsorption energies on transition-metal surfaces based on DFT calculations, using an adaptively weighted sum of energies from RPBE and optB86b-vdW (or optB88-vdW) density functionals. This method has been benchmarked against a set of 39 reliable experimental energies for adsorption reactions. Our results show that this method has a mean absolute error and root mean squared error relative to experiments of 13.4 and 19.3 kJ/mol, respectively, compared to 20.4 and 26.4 kJ/mol for the BEEF-vdW functional. For systems with large van der Waals contributions, this method decreases these errors to 11.6 and 17.5 kJ/mol. Furthermore, this method provides predictions of adsorption energies both for processes dominated by strong covalent or ionic bonding and for those dominated by dispersion forces that are more accurate thanmore » those of any current standard DFT functional alone.« less

Authors:
 [1];  [2];  [1];  [2];  [1];  [3]; ORCiD logo [4]; ORCiD logo [5]; ORCiD logo [2]
  1. Gene & Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, Washington 99164, United States
  2. Cain Department of Chemical Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, United States
  3. Institute for Chemical Technology and Polymer Chemistry, Karlsruhe Institute of Technology, Karlsruhe 76131, Germany
  4. Department of Chemistry and Department of Chemical Engineering, University of Washington, Seattle, Washington 98195, United States
  5. Gene & Linda Voiland School of Chemical Engineering and Bioengineering, Washington State University, Pullman, Washington 99164, United States, Department of Physics and Astronomy and Department of Chemistry, Washington State University, Pullman, Washington 99164, United States
Publication Date:
Research Org.:
Washington State Univ., Pullman, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
OSTI Identifier:
1344948
Alternate Identifier(s):
OSTI ID: 1346411
Grant/Contract Number:  
SC0014560
Resource Type:
Published Article
Journal Name:
Journal of Physical Chemistry. C
Additional Journal Information:
Journal Name: Journal of Physical Chemistry. C Journal Volume: 121 Journal Issue: 9; Journal ID: ISSN 1932-7447
Publisher:
American Chemical Society
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY

Citation Formats

Hensley, Alyssa J. R., Ghale, Kushal, Rieg, Carolin, Dang, Thanh, Anderst, Emily, Studt, Felix, Campbell, Charles T., McEwen, Jean-Sabin, and Xu, Ye. DFT-Based Method for More Accurate Adsorption Energies: An Adaptive Sum of Energies from RPBE and vdW Density Functionals. United States: N. p., 2017. Web. doi:10.1021/acs.jpcc.6b10187.
Hensley, Alyssa J. R., Ghale, Kushal, Rieg, Carolin, Dang, Thanh, Anderst, Emily, Studt, Felix, Campbell, Charles T., McEwen, Jean-Sabin, & Xu, Ye. DFT-Based Method for More Accurate Adsorption Energies: An Adaptive Sum of Energies from RPBE and vdW Density Functionals. United States. https://doi.org/10.1021/acs.jpcc.6b10187
Hensley, Alyssa J. R., Ghale, Kushal, Rieg, Carolin, Dang, Thanh, Anderst, Emily, Studt, Felix, Campbell, Charles T., McEwen, Jean-Sabin, and Xu, Ye. Mon . "DFT-Based Method for More Accurate Adsorption Energies: An Adaptive Sum of Energies from RPBE and vdW Density Functionals". United States. https://doi.org/10.1021/acs.jpcc.6b10187.
@article{osti_1344948,
title = {DFT-Based Method for More Accurate Adsorption Energies: An Adaptive Sum of Energies from RPBE and vdW Density Functionals},
author = {Hensley, Alyssa J. R. and Ghale, Kushal and Rieg, Carolin and Dang, Thanh and Anderst, Emily and Studt, Felix and Campbell, Charles T. and McEwen, Jean-Sabin and Xu, Ye},
abstractNote = {In recent years, the popularity of density functional theory with periodic boundary conditions (DFT) has surged for the design and optimization of functional materials. However, no single DFT exchange–correlation functional currently available gives accurate adsorption energies on transition metals both when bonding to the surface is dominated by strong covalent or ionic bonding and when it has strong contributions from van der Waals interactions (i.e., dispersion forces). Here we present a new, simple method for accurately predicting adsorption energies on transition-metal surfaces based on DFT calculations, using an adaptively weighted sum of energies from RPBE and optB86b-vdW (or optB88-vdW) density functionals. This method has been benchmarked against a set of 39 reliable experimental energies for adsorption reactions. Our results show that this method has a mean absolute error and root mean squared error relative to experiments of 13.4 and 19.3 kJ/mol, respectively, compared to 20.4 and 26.4 kJ/mol for the BEEF-vdW functional. For systems with large van der Waals contributions, this method decreases these errors to 11.6 and 17.5 kJ/mol. Furthermore, this method provides predictions of adsorption energies both for processes dominated by strong covalent or ionic bonding and for those dominated by dispersion forces that are more accurate than those of any current standard DFT functional alone.},
doi = {10.1021/acs.jpcc.6b10187},
journal = {Journal of Physical Chemistry. C},
number = 9,
volume = 121,
place = {United States},
year = {Mon Feb 27 00:00:00 EST 2017},
month = {Mon Feb 27 00:00:00 EST 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.1021/acs.jpcc.6b10187

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