ACS Publications. Most Trusted. Most Cited. Most Read
My Activity
CONTENT TYPES

Figure 1Loading Img
RETURN TO ISSUEPREVQuantum Electronic S...Quantum Electronic StructureNEXT

Measuring Density-Driven Errors Using Kohn–Sham Inversion

Cite this: J. Chem. Theory Comput. 2020, 16, 8, 5014–5023
Publication Date (Web):July 15, 2020
https://doi.org/10.1021/acs.jctc.0c00391
Copyright © 2020 American Chemical Society

    Article Views

    798

    Altmetric

    -

    Citations

    LEARN ABOUT THESE METRICS
    Read OnlinePDF (1 MB)
    Supporting Info (1)»

    Abstract

    Abstract Image

    Kohn–Sham (KS) inversion, that is, the finding of the exact KS potential for a given density, is difficult in localized basis sets. We study the precision and reliability of several inversion schemes, finding estimates of density-driven errors at a useful level of accuracy. In typical cases of substantial density-driven errors, Hartree–Fock density functional theory (HF-DFT) is almost as accurate as DFT evaluated on CCSD(T) densities. A simple approximation in practical HF-DFT also makes errors much smaller than the density-driven errors being calculated. Two paradigm examples, stretched NaCl and the HO·Cl radical, illustrate just how accurate HF-DFT is.

    Supporting Information

    ARTICLE SECTIONS
    Jump To

    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.0c00391.

    • Inversion results of CCSD and CCSD(T) densities for NaCl and ZMP results for the HO·Cl complex (PDF)

    Terms & Conditions

    Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses). Permission may be obtained from ACS for other uses through requests via the RightsLink permission system: http://pubs.acs.org/page/copyright/permissions.html.

    Cited By

    This article is cited by 22 publications.

    1. Daniel Graf, Alex J. W. Thom. Simple and Efficient Route toward Improved Energetics within the Framework of Density-Corrected Density Functional Theory. Journal of Chemical Theory and Computation 2023, 19 (16) , 5427-5438. https://doi.org/10.1021/acs.jctc.3c00441
    2. Aaron D. Kaplan, Chandra Shahi, Pradeep Bhetwal, Raj K. Sah, John P. Perdew. Understanding Density-Driven Errors for Reaction Barrier Heights. Journal of Chemical Theory and Computation 2023, 19 (2) , 532-543. https://doi.org/10.1021/acs.jctc.2c00953
    3. Yan Oueis, Viktor N. Staroverov. Reconstruction of Exchange–Correlation Potentials from Their Matrix Representations. Journal of Chemical Theory and Computation 2022, 18 (10) , 6092-6098. https://doi.org/10.1021/acs.jctc.2c00655
    4. Saswata Dasgupta, Chandra Shahi, Pradeep Bhetwal, John P. Perdew, Francesco Paesani. How Good Is the Density-Corrected SCAN Functional for Neutral and Ionic Aqueous Systems, and What Is So Right about the Hartree–Fock Density?. Journal of Chemical Theory and Computation 2022, 18 (8) , 4745-4761. https://doi.org/10.1021/acs.jctc.2c00313
    5. Etienne Palos, Eleftherios Lambros, Steven Swee, Jie Hu, Saswata Dasgupta, Francesco Paesani. Assessing the Interplay between Functional-Driven and Density-Driven Errors in DFT Models of Water. Journal of Chemical Theory and Computation 2022, 18 (6) , 3410-3426. https://doi.org/10.1021/acs.jctc.2c00050
    6. Eunji Sim, Suhwan Song, Stefan Vuckovic, Kieron Burke. Improving Results by Improving Densities: Density-Corrected Density Functional Theory. Journal of the American Chemical Society 2022, 144 (15) , 6625-6639. https://doi.org/10.1021/jacs.1c11506
    7. Suhwan Song, Stefan Vuckovic, Eunji Sim, Kieron Burke. Density-Corrected DFT Explained: Questions and Answers. Journal of Chemical Theory and Computation 2022, 18 (2) , 817-827. https://doi.org/10.1021/acs.jctc.1c01045
    8. Yuming Shi, Adam Wasserman. Inverse Kohn–Sham Density Functional Theory: Progress and Challenges. The Journal of Physical Chemistry Letters 2021, 12 (22) , 5308-5318. https://doi.org/10.1021/acs.jpclett.1c00752
    9. Lorenzo A. Mariano, Bess Vlaisavljevich, Roberta Poloni. Improved Spin-State Energy Differences of Fe(II) Molecular and Crystalline Complexes via the Hubbard U-Corrected Density. Journal of Chemical Theory and Computation 2021, 17 (5) , 2807-2816. https://doi.org/10.1021/acs.jctc.1c00034
    10. Seungsoo Nam, Eunbyol Cho, Eunji Sim, Kieron Burke. Explaining and Fixing DFT Failures for Torsional Barriers. The Journal of Physical Chemistry Letters 2021, 12 (11) , 2796-2804. https://doi.org/10.1021/acs.jpclett.1c00426
    11. Suhwan Song, Stefan Vuckovic, Eunji Sim, Kieron Burke. Density Sensitivity of Empirical Functionals. The Journal of Physical Chemistry Letters 2021, 12 (2) , 800-807. https://doi.org/10.1021/acs.jpclett.0c03545
    12. Suhwan Song, Stefan Vuckovic, Youngsam Kim, Hayoung Yu, Eunji Sim, Kieron Burke. Extending density functional theory with near chemical accuracy beyond pure water. Nature Communications 2023, 14 (1) https://doi.org/10.1038/s41467-023-36094-y
    13. Ayoub Aouina, Matteo Gatti, Siyuan Chen, Shiwei Zhang, Lucia Reining. Accurate Kohn-Sham auxiliary system from the ground-state density of solids. Physical Review B 2023, 107 (19) https://doi.org/10.1103/PhysRevB.107.195123
    14. Steven Crisostomo, Ryan Pederson, John Kozlowski, Bhupalee Kalita, Antonio C. Cancio, Kiril Datchev, Adam Wasserman, Suhwan Song, Kieron Burke. Seven useful questions in density functional theory. Letters in Mathematical Physics 2023, 113 (2) https://doi.org/10.1007/s11005-023-01665-z
    15. Jeffrey Wrighton, Angel Albavera-Mata, Héctor Francisco Rodríguez, Tun S. Tan, Antonio C. Cancio, J. W. Dufty, S. B. Trickey. Some problems in density functional theory. Letters in Mathematical Physics 2023, 113 (2) https://doi.org/10.1007/s11005-023-01649-z
    16. Tim Gould. Toward routine Kohn–Sham inversion using the “Lieb-response” approach. The Journal of Chemical Physics 2023, 158 (6) https://doi.org/10.1063/5.0134330
    17. Yuming Shi, Victor H. Chávez, Adam Wasserman. n2v : A density‐to‐potential inversion suite. A sandbox for creating, testing, and benchmarking density functional theory inversion methods. WIREs Computational Molecular Science 2022, 12 (6) https://doi.org/10.1002/wcms.1617
    18. S. Crisostomo, M. Levy, K. Burke. Can the Hartree–Fock kinetic energy exceed the exact kinetic energy?. The Journal of Chemical Physics 2022, 157 (15) , 154106. https://doi.org/10.1063/5.0105684
    19. Iulia Emilia Brumboiu, Thomas Fransson. Core–hole delocalization for modeling x-ray spectroscopies: A cautionary tale. The Journal of Chemical Physics 2022, 156 (21) https://doi.org/10.1063/5.0088195
    20. A. Liardi, F. Marino, G. Colò, X. Roca-Maza, E. Vigezzi. Complete solution to the inverse Kohn-Sham problem: From the density to the energy. Physical Review C 2022, 105 (3) https://doi.org/10.1103/PhysRevC.105.034309
    21. Saswata Dasgupta, Eleftherios Lambros, John P. Perdew, Francesco Paesani. Elevating density functional theory to chemical accuracy for water simulations through a density-corrected many-body formalism. Nature Communications 2021, 12 (1) https://doi.org/10.1038/s41467-021-26618-9
    22. Seungsoo Nam, Ryan J. McCarty, Hansol Park, Eunji Sim. KS-pies: Kohn–Sham inversion toolkit. The Journal of Chemical Physics 2021, 154 (12) https://doi.org/10.1063/5.0040941

    Pair your accounts.

    Export articles to Mendeley

    Get article recommendations from ACS based on references in your Mendeley library.

    Pair your accounts.

    Export articles to Mendeley

    Get article recommendations from ACS based on references in your Mendeley library.

    You’ve supercharged your research process with ACS and Mendeley!

    STEP 1:
    Click to create an ACS ID

    Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

    Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

    Please note: If you switch to a different device, you may be asked to login again with only your ACS ID.

    MENDELEY PAIRING EXPIRED
    Your Mendeley pairing has expired. Please reconnect