We develop a geometrical optimization technique for the projection-after-variation (PAV) scheme of the recently refined projected Hartree–Fock (PHF) as a fast alternative to the variation-after-projection (VAP) approach for optimizing the structures of molecules/clusters in symmetry-adapted electronic states at the mean-field computational cost. PHF handles the nondynamic correlation effects by restoring the symmetry of a broken-symmetry single reference wavefunction and moreover enables a black-box treatment of orbital selections. Using HF orbitals instead of PHF orbitals, our approach saves the computational cost for the orbital optimization, avoiding the convergence problem that sometimes emerges in the VAP scheme. We show that PAV-PHF provides geometries comparable to those of the complete active space self-consistent field and VAP-PHF for the tested systems, namely, , , and the core, where nondynamic correlation is abundant. The proposed approach is useful for large systems mainly dominated by nondynamic correlation to find stable structures in many symmetry-adapted states.
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14 March 2017
Research Article|
March 10 2017
Analytic energy gradient of projected Hartree–Fock within projection after variation
Motoyuki Uejima;
Motoyuki Uejima
1Graduate School of Science, Technology, and Innovation,
Kobe University
, Rokkodai-cho, Nada-ku, Kobe 657-8501, Japan
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Seiichiro Ten-no
Seiichiro Ten-no
a)
1Graduate School of Science, Technology, and Innovation,
Kobe University
, Rokkodai-cho, Nada-ku, Kobe 657-8501, Japan
2Graduate School of System Informatics,
Kobe University
, Rokkodai-cho, Nada-ku, Kobe 657-8501, Japan
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a)
Author to whom correspondence should be addressed. Electronic mail: [email protected]. Tel: +81-78-803-6125. Fax: +81-78-803-6125.
J. Chem. Phys. 146, 104106 (2017)
Article history
Received:
January 05 2017
Accepted:
February 22 2017
Citation
Motoyuki Uejima, Seiichiro Ten-no; Analytic energy gradient of projected Hartree–Fock within projection after variation. J. Chem. Phys. 14 March 2017; 146 (10): 104106. https://doi.org/10.1063/1.4978050
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