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DFT exchange: sharing perspectives on the workhorse of quantum chemistry and materials science

  • Andrew M. Teale*
  • , Trygve Helgaker
  • , Andreas Savin
  • , Carlo Adamo
  • , Bálint Aradi
  • , Alexei V. Arbuznikov
  • , Paul W. Ayers
  • , Evert Jan Baerends
  • , Vincenzo Barone
  • , Patrizia Calaminici
  • , Eric Cancès
  • , Emily A. Carter
  • , Pratim Kumar Chattaraj
  • , Henry Chermette
  • , Ilaria Ciofini
  • , T. Daniel Crawford
  • , Frank De Proft
  • , John F. Dobson
  • , Claudia Draxl
  • , Thomas Frauenheim
  • Emmanuel Fromager, Patricio Fuentealba, Laura Gagliardi, Giulia Galli, Jiali Gao, Paul Geerlings, Nikitas Gidopoulos, Peter M.W. Gill, Paola Gori-Giorgi, Andreas Görling, Tim Gould, Stefan Grimme, Oleg Gritsenko, Hans Jørgen Aagaard Jensen, Erin R. Johnson, Robert O. Jones, Martin Kaupp, Andreas M. Köster, Leeor Kronik, Anna I. Krylov, Simen Kvaal, Andre Laestadius, Mel Levy, Mathieu Lewin, Shubin Liu, Pierre François Loos, Neepa T. Maitra, Frank Neese, John P. Perdew, Katarzyna Pernal, Pascal Pernot, Piotr Piecuch, Elisa Rebolini, Lucia Reining, Pina Romaniello, Adrienn Ruzsinszky, Dennis R. Salahub, Matthias Scheffler, Peter Schwerdtfeger, Viktor N. Staroverov, Jianwei Sun, Erik Tellgren, David J. Tozer, Samuel B. Trickey, Carsten A. Ullrich, Alberto Vela, Giovanni Vignale, Tomasz A. Wesolowski, Xin Xu, Weitao Yang
*Corresponding author for this work
  • University of Nottingham
  • University of Oslo
  • Pierre and Marie Curie University
  • PSL Research University, Paris
  • University of Bremen
  • Technical University of Berlin
  • McMaster University
  • Vrije University Amsterdam
  • Scuola Normale Superiore
  • Centro de Investigación y de Estudios Avanzados (Cinvestav)
  • Ecole des Ponts and Inria Paris
  • Princeton University
  • Indian Institute of Technology Kharagpur
  • Université Claude Bernard Lyon1
  • Virginia Polytechnic Institute and State University
  • Molecular Sciences Software Institute
  • Free University of Brussels
  • Griffith University
  • Humboldt University of Berlin
  • Fritz-Haber Institute of the Max-Planck Society
  • Beijing Computational Science Research Center
  • University of Chile
  • University of Chicago
  • Shenzhen Bay Laboratory
  • University of Minnesota
  • Durham University
  • The University of Sydney
  • Amsterdam Institute of Molecular and Life Sciences
  • University of Erlangen-Nuremberg, Germany
  • University of Bonn
  • Dalhousie University
  • Forschungszentrum Jülich
  • Weizmann Institute of Science
  • University of Southern California
  • Tulane University
  • Dauphine University
  • University of North Carolina at Chapel Hill
  • Paul Sabatier University
  • Rutgers University
  • Max Planck Institute for Coal Research
  • St. Luke's University Health Network
  • Lodz University of Technology
  • Institut de Chimie Physique
  • Michigan State University
  • Institut Laue–Langevin
  • Laboratoire des Solides Irradiés
  • European Theoretical Spectroscopy Facility
  • University of Calgary
  • Massey University Auckland
  • University of Western Ontario
  • University of Florida
  • University of Missouri
  • University of Geneva
  • Fudan University
  • Duke University

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Abstract

In this paper, the history, present status, and future of density-functional theory (DFT) is informally reviewed and discussed by 70 workers in the field, including molecular scientists, materials scientists, method developers and practitioners. The format of the paper is that of a roundtable discussion, in which the participants express and exchange views on DFT in the form of 302 individual contributions, formulated as responses to a preset list of 26 questions. Supported by a bibliography of 777 entries, the paper represents a broad snapshot of DFT, anno 2022.

Original languageEnglish
JournalPhysical Chemistry Chemical Physics
Volume24
Issue number47
Pages (from-to)28700-28781
ISSN1463-9076
DOIs
Publication statusPublished - 7. Dec 2022

Funding

The authors are indebted to Steven Berry, Durham University, for preparation of the cover art graphics associated with this paper. AK acknowledges support from the U.S. National Science Foundation (NSF) through Grant No. CHE-2154482. AL acknowledges support from the Norwegian Research Council through Grant No. 287906 (CCerror) and 262695 (CoE Hylleraas Center for Quantum Molecular Sciences). AMK acknowledges support from the Mexican Consejo Nacional de Ciencia y Tecnología through Grant No. A1-S-11929. AMT acknowledges financial support from the European Research Council under H2020/ERC Consolidator Grant topDFT (Grant No. 772259). CAU is supported by DOE grant No. DE-SC0019109 and NSF grants No. DMR-1810922 and DMR-2149082. CD acknowledges funding by the German Research Foundation (DFG) through projects 460197019, 424709454, and 182087777 as well as by the European Union's Horizon 2020 research and innovation program under the grant agreement No. 951786 (NOMAD CoE). EAC acknowledges financial support from the Advanced Scientific Computing Research Program funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, under Award No. DE-AC02-05CH11231. EC acknowledges support from the European Research Council (ERC) under H2020/ERC Grant EMC2 810367. EF thanks LabEx CSC (grant number: ANR-10-LABX-0026-CSC) and ANR (CoLab project, grant number: ANR-19-CE07-0024-02) for funding. ERJ thanks the Natural Sciences and Engineering Research Council of Canada (NSERC) for financial support. FDP and PG want to acknowledge the Vrije Universiteit Brussel for the support through a Strategic Research Program (SRP). GG acknowledges DOE/BES support through the Computational Materials Science Center MICCoM. HCh thanks gratefully C. Morell for his continuous support and for thorough discussions. JG acknowledges support from the U.S. National Institutes of Health under grant no. GM046736. JPP acknowledges support from the U.S. National Science Foundation under grant no. DMR-1939528 and from the U.S. Department of Energy under grant no. DE-SC0018331. LK is supported by the Helen and Martin Kimmel Award for Innovative Investigation and the Aryeh and Mintzi Katzman Professorial Chair. ML acknowledges support from the European Research Council (ERC) under H2020/ERC Grant MDFT 725528. MLe acknowledges support from the Julian Schwinger Foundation. MS acknowledges funding from the European Unions Horizon 2020 Research and Innovation Programme (No. 951786, the NOMAD Center of Excellence) and from the ERC Advanced Grant TEC1P (No. 740233). NG acknowledges financial support from The Leverhulme Trust, through a Research Project (Grant No. RPG-2016-005). PFL thanks the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant agreement No. 863481) for financial support. PKC acknowledges DST, New Delhi, India for the J. C. Bose National Fellowship, grant number SR/S2/JCB-09/2009. PPi acknowledges support from the Chemical Sciences, Geosciences and Biosciences Division, Office of Basic Energy Sciences, Office of Science, U.S. Department of Energy under award no. DE-FG02-01ER15228. SBT is supported by U.S. DOE grant DE-SC0002139 and NSF grant DMR-1912618. TDC was supported by the Molecular Sciences Software Institute under U.S. National Science Foundation grants ACI-1547580 and CHE-2136142. TG acknowledges support from the Australian Research Council (grant no. DP200100033). TH acknowledges support from the Research Council of Norway for the CoE Hylleraas Centre for Molecular Sciences (Grant No. 262695). XX acknowledges support from the National Natural Science Foundation of China (Grant No. 21688102).

Keywords

  • Humans
  • Materials Science

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