CrystaLattE: Automated computation of lattice energies of organic crystals exploiting the many-body expansion to achieve dual-level parallelism.
Identifieur interne : 000641 ( Main/Exploration ); précédent : 000640; suivant : 000642CrystaLattE: Automated computation of lattice energies of organic crystals exploiting the many-body expansion to achieve dual-level parallelism.
Auteurs : Carlos H. Borca [États-Unis] ; Brandon W. Bakr [États-Unis] ; Lori A. Burns [États-Unis] ; C David Sherrill [États-Unis]Source :
- The Journal of chemical physics [ 1089-7690 ] ; 2019.
Abstract
We present an algorithm to compute the lattice energies of molecular crystals based on the many-body cluster expansion. The required computations on dimers, trimers, etc., within the crystal are independent of each other, leading to a naturally parallel approach. The algorithm exploits the long-range three-dimensional periodic order of crystals to automatically detect and avoid redundant or unnecessary computations. For this purpose, Coulomb-matrix descriptors from machine learning applications are found to be efficient in determining whether two N-mers are identical. The algorithm is implemented as an open-source Python program, CrystaLattE, that uses some of the features of the Quantum Chemistry Common Driver and Databases library. CrystaLattE is initially interfaced with the quantum chemistry package Psi4. With CrystaLattE, we have applied the fast, dispersion-corrected Hartree-Fock method HF-3c to the lattice energy of crystalline benzene. Including all 73 symmetry-unique dimers and 7130 symmetry-unique trimers that can be formed from molecules within a 15 Å cutoff from a central reference monomer, HF-3c plus an Axilrod-Teller-Muto estimate of three-body dispersion exhibits an error of only -1.0 kJ mol-1 vs the estimated 0 K experimental lattice energy of -55.3 ± 2.2 kJ mol-1. The convergence of the HF-3c two- and three-body contributions to the lattice energy as a function of intermonomer distance is examined.
DOI: 10.1063/1.5120520
PubMed: 31615262
Affiliations:
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Borca</name><affiliation wicri:level="1"><nlm:affiliation>School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332</wicri:regionArea><wicri:noRegion>Georgia 30332</wicri:noRegion></affiliation></author><author><name sortKey="Bakr, Brandon W" sort="Bakr, Brandon W" uniqKey="Bakr B" first="Brandon W" last="Bakr">Brandon W. 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Burns</name><affiliation wicri:level="1"><nlm:affiliation>School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332</wicri:regionArea><wicri:noRegion>Georgia 30332</wicri:noRegion></affiliation></author><author><name sortKey="Sherrill, C David" sort="Sherrill, C David" uniqKey="Sherrill C" first="C David" last="Sherrill">C David Sherrill</name><affiliation wicri:level="1"><nlm:affiliation>School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332</wicri:regionArea><wicri:noRegion>Georgia 30332</wicri:noRegion></affiliation></author></analytic><series><title level="j">The Journal of chemical physics</title><idno type="eISSN">1089-7690</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We present an algorithm to compute the lattice energies of molecular crystals based on the many-body cluster expansion. The required computations on dimers, trimers, etc., within the crystal are independent of each other, leading to a naturally parallel approach. The algorithm exploits the long-range three-dimensional periodic order of crystals to automatically detect and avoid redundant or unnecessary computations. For this purpose, Coulomb-matrix descriptors from machine learning applications are found to be efficient in determining whether two N-mers are identical. The algorithm is implemented as an open-source Python program, CrystaLattE, that uses some of the features of the Quantum Chemistry Common Driver and Databases library. CrystaLattE is initially interfaced with the quantum chemistry package Psi4. With CrystaLattE, we have applied the fast, dispersion-corrected Hartree-Fock method HF-3c to the lattice energy of crystalline benzene. Including all 73 symmetry-unique dimers and 7130 symmetry-unique trimers that can be formed from molecules within a 15 Å cutoff from a central reference monomer, HF-3c plus an Axilrod-Teller-Muto estimate of three-body dispersion exhibits an error of only -1.0 kJ mol<sup>-1</sup> vs the estimated 0 K experimental lattice energy of -55.3 ± 2.2 kJ mol<sup>-1</sup>. The convergence of the HF-3c two- and three-body contributions to the lattice energy as a function of intermonomer distance is examined.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country></list><tree><country name="États-Unis"><noRegion><name sortKey="Borca, Carlos H" sort="Borca, Carlos H" uniqKey="Borca C" first="Carlos H" last="Borca">Carlos H. Borca</name></noRegion><name sortKey="Bakr, Brandon W" sort="Bakr, Brandon W" uniqKey="Bakr B" first="Brandon W" last="Bakr">Brandon W. Bakr</name><name sortKey="Burns, Lori A" sort="Burns, Lori A" uniqKey="Burns L" first="Lori A" last="Burns">Lori A. Burns</name><name sortKey="Sherrill, C David" sort="Sherrill, C David" uniqKey="Sherrill C" first="C David" last="Sherrill">C David Sherrill</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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