Journal of Chemical Physics
The Journal of Chemical Physics
   
 
 
 
Previous Article
Fewest-switches with time uncertainty: A modified trajectory surface-hopping algorithm with better accuracy for classically forbidden electronic transitions
We present a modification of Tully's fewest-switches (TFS) trajectory surface-hopping algorithm (also called molecular dynamics with quantum transitions) that is called the fewest-switches with time u...
Next Article
The energy as a functional of the charge density and the charge-density susceptibility: A simple, exact, nonlocal expression for the electronic energy of a molecule
Simple, new expressions relate the electronic potential energy V" align="middle"/> and the total electronic energy E of a molecule to its averaged electron density e(r)" align="middle"/>, the nonlocal...

Density matrix variational theory: Application to the potential energy surfaces and strongly correlated systems

J. Chem. Phys. 116, 5432 (2002); doi:10.1063/1.1453961

Issue Date: 1 April 2002

You are not logged in to this journal. Log in

Maho Nakata, Masahiro Ehara, and Hiroshi Nakatsuji
Department of Synthetic Chemistry and Biological Chemistry, Faculty of Engineering, Kyoto University, Kyoto 606-8501, Japan
The density matrix variational theory (DMVT) algorithm developed previously [J. Chem. Phys. 114, 8282 (2001)] was utilized for calculations of the potential energy surfaces of molecules, H4, H2O, NH3, BH3, CO, N2, C2, and Be2. The DMVT(PQG), using the P, Q, and G conditions as subsidiary condition, reproduced the full-CI curves very accurately even up to the dissociation limit. The method described well the quasidegenerate states and the strongly correlated systems. On the other hand, the DMVT(PQ) was not satisfactory especially in the dissociation limit and its potential curves were always repulsive. The size consistency of the method was discussed and the G condition was found to be essential for the correct behavior of the potential curve. Further, we also examined the Weinhold–Wilson inequalities for the resultant 2-RDM of DMVT(PQG) calculations. Two linear inequalities were violated when the results were less accurate, suggesting that this inequality may provide a useful N-representability condition for the DMVT. ©2002 American Institute of Physics.
History: Received 23 August 2001; accepted 7 January 2002
Permalink: http://link.aip.org/link/?JCPSA6/116/5432/1
BUY THIS ARTICLE   (US$28)
Download HTML Download Sectioned HTML Download PDF (488 kB) View Cart

KEYWORDS and PACS

Keywords
PACS
  • 31.50.-x
    Electronic structure of atoms and molecules: theory Potential energy surfaces
  • 31.15.Pf
    Electronic structure of atoms and molecules: theory Calculations and mathematical techniques in atomic and molecular physics (excluding electron correlation calculations) Variational techniques
  • 31.25.Nj
    Electronic structure of atoms and molecules: theory Electron correlation calculations for atoms and molecules Electron correlation calculations for diatomic molecules
  • 31.25.Qm
    Electronic structure of atoms and molecules: theory Electron correlation calculations for atoms and molecules Electron correlation calculations for polyatomic molecules
  • 02.30.Xx
    Mathematical methods in physics Function theory, analysis Calculus of variations
  • YEAR: 2002

RELATED DATABASES


To view database links for this article,
you need to log in.
To view database links for this article,
you need to log in.

PUBLICATION DATA

ISSN:
0021-9606 (print)   1089-7690 (online)
Publisher:
AIP is a member of CrossRef AIP

REFERENCES (38)

For access to fully linked references, you need to log in. For access to fully linked references, you need to Log in.
  1. K. Husimi, Proc. Phys. Math. Soc. Jpn. 22, 264 (1940).
  2. P.-O. Löwdin, Phys. Rev. 99, 1474 (1955).
  3. H. Nakatsuji, Phys. Rev. A 14, 41 (1976).
  4. C. Valdemoro, Phys. Rev. A 45, 4462 (1992);
  5. F. Colmenero, C. Pérez del Valle, and C. Valdemoro, ibid. 47, 971 (1993);
    F. Colmenero and C. Valdemoro, ibid. 47, 979 (1993).
  6. H. Nakatsuji and K. Yasuda, Phys. Rev. Lett. 76, 1039 (1996);
  7. K. Yasuda and H. Nakatsuji, Phys. Rev. A 56, 2648 (1997).
  8. D. A. Mazziotti, Phys. Rev. A 57, 4219 (1998);
  9. Chem. Phys. Lett. 289, 419 (1998).
  10. H. Nakatsuji, in Many-Electron Densities and Reduced Density Matrices, edited by J. Cioslowski (Kluwer Academic, New York, 2000).
  11. A. J. Coleman, Rev. Mod. Phys. 35, 668 (1963).
  12. C. Garrod, and J. K. Percus, J. Math. Phys. 5, 1756 (1964).
  13. L. J. Kijewski and J. K. Percus, Phys. Rev. A 2, 1659 (1970);
  14. L. J. Kijewski, ibid. 6, 1659 (1972);
    L. J. Kijewski, ibid. 9, 2263 (1974).
  15. C. Garrod, M. V. Mihailovic, and M. Rosina, J. Math. Phys. 16, 868 (1975).
  16. C. Garrod and M. A. Fusco, Int. J. Quantum Chem. 10, 495 (1976).
  17. R. M. Erdahl, Rep. Math. Phys. 15, 147 (1979).
  18. R. M. Erdahl, and B. Jin, J. Mol. Struct.: THEOCHEM 527, 207 (2000);
  19. R. M. Erdahl and B. Jin, in Many-Electron Densities and Reduced Density Matrices, edited by J. Cioslowski (Kluwer Academic, New York, 2000).
  20. M. Nakata, H. Nakatsuji, M. Ehara, M. Fukuda, K. Nakata, and K. Fujisawa, J. Chem. Phys. 114, 8282 (2001).
  21. Y. Nesterov and A. S. Nemirovskii, Interior Point Polynomial Method in Convex Programming: Theory and Applications (SIAM, Philadelphia, 1993).
  22. L. Vandenberghe and S. Boyd, SIAM Rev. 38, 49 (1996).
  23. M. Kojima, Semidefinite Programming and Interior-Point Methods, http://www.is.titech.ac.jp/ -tilde kojima/wabun.html, 1996 (in Japanese).
  24. K. Fujisawa, M. Kojima, and K. Nakata, SDPA (SemiDefinite Programming Algorithm) User's Manual Version 5.00, August 1999. http://is-mj.archi.kyoto-u.ac.jp/ -tilde fujisawa/software.html
  25. D. A. Mazziotti and R. M. Erdahl, Phys. Rev. A 63, 042113 (2001).
  26. C. Valdemoro, L. M. Tel, and E. Perez-Romero, Phys. Rev. A 61, 032507 (2000).
  27. H. Nakatsuji, J. Chem. Phys. 113, 2949 (2000).
  28. H. Nakatsuji and E. R. Davidson, J. Chem. Phys. 115, 2000 (2001).
  29. H. Nakatsuji, J. Chem. Phys. 115, 2465 (2001).
  30. H. Nakatsuji J. Chem. Phys. 116, 1811 (2002).
  31. M. Ehara, M. Nakata, H. Kou, K. Yasuda, and H. Nakatsuji, Chem. Phys. Lett. 305, 483 (1999).
  32. F. Weinhold and E. B. Wilson, Jr., J. Chem. Phys. 47, 2298 (1967).
  33. E. R. Davidson, J. Math. Phys. 10, 725 (1969).
  34. W. B. McRae and E. R. Davidson, J. Math. Phys. 13, 1527 (1972).
  35. J.-P. Hansen and I. R. McDonald, Theory of Simple Liquids (Academic, Harcourt Brace, New York, 1990).
  36. T. V. Voorhis and M. Head-Gordon, J. Chem. Phys. 113, 8873 (2001).
  37. J. Paldus, P. Piecuch, L. Pylypow, and B. Jezirovski, Phys. Rev. A 47, 2738 (1993).
  38. S. Huzinaga, J. Chem. Phys. 42, 1293 (1970);
  39. T. H. Dunning, Jr., ibid. 53, 2823 (1970);
    T. H. Dunning, J. and P. J. Hay, In Method of Electronic Structure Theory, edited by H. F. Schaefer III (Plenum, New York, 1977), Vol. 2.
  40. Basis sets were obtained from the Extensible Computational Chemistry Environment Basis Set Database, Version 4/22/01, as developed and distributed by the Molecular Science Computing Facility, Environmental and Molecular Sciences Laboratory, the Pacific Northwest Laboratory, P.O. Box 999, Richland, WA 99352. http://www.emsl.pnl.gov:2080/forms/basisform.html
  41. W. J. Hehre, R. F. Stewart, and J. A. Pople, J. Chem. Phys. 51, 2657 (1969).
  42. J. H. Callomon, E. Horita, K. Kuchitsu, W. J. Lafferty, A. G. Maki, and C. S. Pote, Landolt–Börnstein (Springer-Verlag, Berlin, 1976).
  43. K. P. Huber and G. Herzberg, Molecular Spectra and Molecular Structure IV, Electronic Constants of Diatomic Molecules (Van Nostrand Reinhold, New York, 1979).
  44. J. L. Dunhum, Phys. Rev. 41, 713, 721 (1932);
  45. H. M. Hulburt and J. O. Hirschfelder, J. Chem. Phys. 9, 61 (1941).

CITING ARTICLES

For access to citing articles, you need to log in.
For access to citing articles, you need to Log in.