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Response to Comment on “Density Functional Theory and 3D-RISM-KH molecular theory of solvation studies of CO2 reduction on Cu-, Cu2O-, Fe-, and Fe3O4-based nanocatalysts”

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Abstract

In response to the Comment on “Density Functional Theory and 3D-RISM-KH molecular theory of solvation studies of CO2 reduction on Cu-, Cu2O-, Fe-, and Fe3O4-based nanocatalysts” (Gusarov J Mol Model 27:344–344, 1), the behavior of a CO* molecule on a Cu21 nanocatalyst slab without a solution considered in the Comment is considerably different from our case of this system in 1.0 Mol KH2PO4 ambient aqueous solution. Moreover, our calculations for CO* on Cu21 without a solution that we presented in our article are similar to those shown in the Comment. The Comment and its conclusions are controversial and should be treated with much caution.

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Data availability

All the calculations and data are available upon request.

Code availability

OpenMX version 3.9 code is freeware; 3D-RISM-KH code is proprietary.

References

  1. Gusarov S (2021) Comment on “Density functional theory and 3D-RISM-KH molecular theory of solvation studies of CO2 reduction on Cu-, Cu2O-, Fe-, and Fe3O4-based nanocatalysts.” J Mol Model 27:344–354. https://doi.org/10.1007/s00894-021-04974-z

    Article  CAS  PubMed  Google Scholar 

  2. Kovalenko A, Naburchilov V (2020) Density functional theory and 3D-RISM-KH molecular theory of solvation studies of CO2 reduction on Cu-, Cu2O-, Fe-, and Fe3O4-based nanocatalysts. J Mol Model 26:267–310. https://doi.org/10.1007/s00894-020-04529-8

    Article  CAS  PubMed  Google Scholar 

  3. Chen X, Chen Y, Song C, Ji P, Wang N, Wang W, Cui L (2020) Recent advances in supported metal catalysts and oxide catalysts for the reverse water-gas shift reaction. Frontiers Chem 8:709–721. https://doi.org/10.3389/fchem.2020.00709

    Article  CAS  Google Scholar 

  4. Okhotnikov K, Charpentier T, Cadars S (2016) Supercell program: a combinatorial structure- generation approach for the local-level modeling of atomic substitutions and partial occupancies in crystals. J Cheminform 8:17–15. https://doi.org/10.1186/s13321-016-0129-3

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Ozaki T (2020) User’s manual of OpenMX, Ver. 3.9. http://www.openmxsquare.org/openmx_man3

  6. Grimme S (2006) Semiempirical GGA-type density functional constructed with a long-range dispersion correction. J Comput Chem 27:1787. https://doi.org/10.1002/jcc.20495

    Article  CAS  PubMed  Google Scholar 

  7. Nishihara S, Otani M (2017) Hybrid solvation models for bulk, interface, and membrane: reference interaction site methods coupled with density functional theory. Phys Rev B 96:115429–115436. https://doi.org/10.1103/PhysRevB.96.115429

    Article  Google Scholar 

  8. Tesch R, Kowalski PM, Eikerling MH (2021) Properties of the Pt(111)/electrolyte electrochemical interface studied with a hybrid DFT–solvation approach. J Phys Condens Matter 33:444004-14. https://doi.org/10.1088/1361-648X/ac1aa2

  9. Giannozzi P, Baroni S, Bonini N, Calandra M, Car R, Cavazzoni C, Ceresoli D, Chiarotti GL, Cococcioni M, Dabo I, Dal Corso A, Fabris S, Fratesi G, de Gironcoli S, Gebauer R, Gerstmann U, Gougoussis C, Kokalj A, Lazzeri M, Martin-Samos L, Marzari N, Mauri F, Mazzarello R, Paolini S, Pasquarello A, Paulatto L, Sbraccia C, Scandolo S, Sclauzero G, Seitsonen AP, Smogunov A, Umari P, Wentzcovitch RM (2019) QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials. J Phys Condens Matter 21:395502–19. https://doi.org/10.1088/0953-8984/21/39/395502

  10. Giannozzi P, Baseggio O, Bonfà P, Brunato D, Car R, Carnimeo I, Cavazzoni C, de Gironcoli S, Delugas P, Ferrari Ruffino F, Ferretti A, Marzari N, Timrov I, Urru A, Baroni S (2020) Quantum ESPRESSO toward the exascale. J Chem Phys 152:154105. https://doi.org/10.1063/5.0005082

    Article  CAS  PubMed  Google Scholar 

  11. Quantum ESPRESSO suite for first-principles electronic-structure calculations and materials modeling. https://www.quantum-espresso.org

  12. Head-Gordon M, Pople JA, Frisch MJ (1988) MP2 energy evaluation by direct methods. Chem Phys Lett 153:503–506. https://doi.org/10.1016/0009-2614(88)85250-3

    Article  CAS  Google Scholar 

  13. Cramer CJ (2002) Essentials of computational chemistry. John Wiley & Sons Ltd, Chichester

    Google Scholar 

Download references

Acknowledgements

Generous computing time provided by Compute Canada/Calcul Canada (www.computecanada.ca) is acknowledged.

Funding

This work was financially supported by the National Research Council of Canada, Research Grant A1-015524–01 0002.

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The authors contributed equally to writing this Response.

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Correspondence to Andriy Kovalenko.

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Kovalenko, A., Neburchilov, V. Response to Comment on “Density Functional Theory and 3D-RISM-KH molecular theory of solvation studies of CO2 reduction on Cu-, Cu2O-, Fe-, and Fe3O4-based nanocatalysts”. J Mol Model 28, 33 (2022). https://doi.org/10.1007/s00894-021-05021-7

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