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      The Synergistic Role of Sulfuric Acid, Bases, and Oxidized Organics Governing New‐Particle Formation in Beijing

      1 , 2 , 3 , 4 , 2 , 5 , 3 , 2 , 3 , 2 , 5 , 2 , 6 , 3 , 2 , 2 , 7 , 8 , 2 , 9 , 2 , 7 , 2 , 2 , 2 , 2 , 2 , 2 , 10 , 1 , 2 , 2 , 2 , 2 , 11 , 3 , 1 , 3 , 4 , 7 , 2 , 2 , 12 , 2 , 2 , 13 , 1 , 9 , 2 , 3 , 4 , 2 , 1 , 1 , 2 , 1 , 2 , 14 , 14 , 5 , 9 , 7 , 6 , 14 , 15 , 2 , 4 , 1 , 5 , 1 , 2 , 14 , 3 , 1 , 2
      Geophysical Research Letters
      American Geophysical Union (AGU)

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          A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu.

          The method of dispersion correction as an add-on to standard Kohn-Sham density functional theory (DFT-D) has been refined regarding higher accuracy, broader range of applicability, and less empiricism. The main new ingredients are atom-pairwise specific dispersion coefficients and cutoff radii that are both computed from first principles. The coefficients for new eighth-order dispersion terms are computed using established recursion relations. System (geometry) dependent information is used for the first time in a DFT-D type approach by employing the new concept of fractional coordination numbers (CN). They are used to interpolate between dispersion coefficients of atoms in different chemical environments. The method only requires adjustment of two global parameters for each density functional, is asymptotically exact for a gas of weakly interacting neutral atoms, and easily allows the computation of atomic forces. Three-body nonadditivity terms are considered. The method has been assessed on standard benchmark sets for inter- and intramolecular noncovalent interactions with a particular emphasis on a consistent description of light and heavy element systems. The mean absolute deviations for the S22 benchmark set of noncovalent interactions for 11 standard density functionals decrease by 15%-40% compared to the previous (already accurate) DFT-D version. Spectacular improvements are found for a tripeptide-folding model and all tested metallic systems. The rectification of the long-range behavior and the use of more accurate C(6) coefficients also lead to a much better description of large (infinite) systems as shown for graphene sheets and the adsorption of benzene on an Ag(111) surface. For graphene it is found that the inclusion of three-body terms substantially (by about 10%) weakens the interlayer binding. We propose the revised DFT-D method as a general tool for the computation of the dispersion energy in molecules and solids of any kind with DFT and related (low-cost) electronic structure methods for large systems.
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            Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density

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              Density-functional exchange-energy approximation with correct asymptotic behavior

              A. Becke (1988)
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                Author and article information

                Contributors
                Journal
                Geophysical Research Letters
                Geophys Res Lett
                American Geophysical Union (AGU)
                0094-8276
                1944-8007
                April 16 2021
                April 08 2021
                April 16 2021
                : 48
                : 7
                Affiliations
                [1 ]Beijing Advanced Innovation Center for Soft Matter Science and Engineering Aerosol and Haze Laboratory Beijing University of Chemical Technology Beijing China
                [2 ]Institute for Atmospheric and Earth System Research/Physics Faculty of Science University of Helsinki Helsinki Finland
                [3 ]School of Environment State Key Joint Laboratory of Environment Simulation and Pollution Control Tsinghua University Beijing China
                [4 ]Department of Environmental Science & Engineering Fudan University Shanghai China
                [5 ]Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing University of Information Science & Technology Nanjing China
                [6 ]Center for Atmospheric Particle Studies Carnegie Mellon University Pittsburgh PA USA
                [7 ]Research Center for Eco‐Environmental Sciences Chinese Academy of Science Beijing China
                [8 ]School of Environmental Sciences Peking University Beijing China
                [9 ]Institute of Chemistry Chinese Academy of Sciences Beijing China
                [10 ]Laboratory of Environmental Physics Institute of Physics University of Tartu Tartu Estonia
                [11 ]Finnish Meteorological Institute Helsinki Finland
                [12 ]Laboratory of Atmospheric Chemistry Paul Scherrer Institute (PSI) Villigen Switzerland
                [13 ]Aerosol Physics Laboratory Physics Unit Tampere University Tampere Finland
                [14 ]School of Atmospheric Sciences Joint International Research Laboratory of Atmospheric and Earth System Sciences Nanjing University Nanjing China
                [15 ]Aerodyne Research Inc. Billerica MA USA
                Article
                10.1029/2020GL091944
                75fab40e-e8d4-437e-b6eb-606e95cd93d6
                © 2021

                http://creativecommons.org/licenses/by/4.0/

                http://creativecommons.org/licenses/by/4.0/

                http://doi.wiley.com/10.1002/tdm_license_1.1

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