The treatment of dispersion interactions is ubiquitous but computationally demanding for seamless ab initio approaches. A highly popular and simple remedy consists in correcting for the missing interactions a posteriori by adding an attractive energy term summed over all atom pairs to standard density functional approximations. These corrections were originally based on atom pairwise parameters and, hence, had a strong touch of empiricism. To overcome such limitations, we recently proposed a robust system-dependent dispersion correction, dDsC, that is computed from the electron density and that provides a balanced description of both weak inter-and intramolecular interactions. From the theoretical point of view and for the sake of increasing reliability, we here verify if the self-consistent implementation of dDsC impacts ground-state properties such as interaction energies, electron density, dipole moments, geometries, and harmonic frequencies. In addition, we investigate the suitability of the a posteriori scheme for molecular dynamics simulations, for which the analysis of the energy conservation constitutes a challenging tests. Our study demonstrates that the post-SCF approach in an excellent approximation. (C) 2014 AIP Publishing LLC.
机构:
Tech Univ Berlin, Machine Learning Grp, D-10587 Berlin, Germany
Univ Calif Los Angeles, Inst Pure & Appl Math, Los Angeles, CA 90095 USATech Univ Berlin, Machine Learning Grp, D-10587 Berlin, Germany
Rupp, Matthias
Tkatchenko, Alexandre
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Univ Calif Los Angeles, Inst Pure & Appl Math, Los Angeles, CA 90095 USA
Max Planck Gesell, Fritz Haber Inst, D-14195 Berlin, GermanyTech Univ Berlin, Machine Learning Grp, D-10587 Berlin, Germany
Tkatchenko, Alexandre
Mueller, Klaus-Robert
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Tech Univ Berlin, Machine Learning Grp, D-10587 Berlin, Germany
Univ Calif Los Angeles, Inst Pure & Appl Math, Los Angeles, CA 90095 USATech Univ Berlin, Machine Learning Grp, D-10587 Berlin, Germany
Mueller, Klaus-Robert
von Lilienfeld, O. Anatole
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Univ Calif Los Angeles, Inst Pure & Appl Math, Los Angeles, CA 90095 USA
Argonne Natl Lab, Argonne Leadership Comp Facil, Argonne, IL 60439 USATech Univ Berlin, Machine Learning Grp, D-10587 Berlin, Germany
机构:
Waseda Univ, Res Inst Sci & Engn, Tokyo 1698555, JapanWaseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan
Sato, Takeshi
Nakai, Hiromi
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Waseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan
Waseda Univ, Sch Adv Sci & Engn, Dept Chem & Biochem, Tokyo 1698555, JapanWaseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan
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Waseda Univ, Res Inst Sci & Engn, Tokyo 1698555, JapanWaseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan
Sato, Takeshi
Nakai, Hiromi
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Waseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan
Waseda Univ, Dept Chem & Biochem, Sch Adv Sci & Engn, Tokyo 1698555, JapanWaseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan
机构:
Tech Univ Berlin, Machine Learning Grp, D-10587 Berlin, Germany
Univ Calif Los Angeles, Inst Pure & Appl Math, Los Angeles, CA 90095 USATech Univ Berlin, Machine Learning Grp, D-10587 Berlin, Germany
Rupp, Matthias
Tkatchenko, Alexandre
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif Los Angeles, Inst Pure & Appl Math, Los Angeles, CA 90095 USA
Max Planck Gesell, Fritz Haber Inst, D-14195 Berlin, GermanyTech Univ Berlin, Machine Learning Grp, D-10587 Berlin, Germany
Tkatchenko, Alexandre
Mueller, Klaus-Robert
论文数: 0引用数: 0
h-index: 0
机构:
Tech Univ Berlin, Machine Learning Grp, D-10587 Berlin, Germany
Univ Calif Los Angeles, Inst Pure & Appl Math, Los Angeles, CA 90095 USATech Univ Berlin, Machine Learning Grp, D-10587 Berlin, Germany
Mueller, Klaus-Robert
von Lilienfeld, O. Anatole
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif Los Angeles, Inst Pure & Appl Math, Los Angeles, CA 90095 USA
Argonne Natl Lab, Argonne Leadership Comp Facil, Argonne, IL 60439 USATech Univ Berlin, Machine Learning Grp, D-10587 Berlin, Germany
机构:
Waseda Univ, Res Inst Sci & Engn, Tokyo 1698555, JapanWaseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan
Sato, Takeshi
Nakai, Hiromi
论文数: 0引用数: 0
h-index: 0
机构:
Waseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan
Waseda Univ, Sch Adv Sci & Engn, Dept Chem & Biochem, Tokyo 1698555, JapanWaseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan
机构:
Waseda Univ, Res Inst Sci & Engn, Tokyo 1698555, JapanWaseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan
Sato, Takeshi
Nakai, Hiromi
论文数: 0引用数: 0
h-index: 0
机构:
Waseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan
Waseda Univ, Dept Chem & Biochem, Sch Adv Sci & Engn, Tokyo 1698555, JapanWaseda Univ, Res Inst Sci & Engn, Tokyo 1698555, Japan