1983
DOI: 10.1139/v83-439
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A constrained configuration interaction method

Abstract: . 61, 2552 (1983). Constrained configuration interaction (CI) wavcfunctions (CVM-CI) wcrc dctcr~nined using the modified pcrtusbationiteration (MPI) method, two approxinlate versions of thc MPI method. and the secant-paran~etcrization method. The resuIts of constrained CI calculations on CO using a 25 configuration wavefunction showed that the MPI method converged rapidly, and that the secant-parameterization nlcthod was cornputationally more economical.G. D. ZErss et M. A. WHITEHEAD. Can. J. Chem. 61, 2552Che… Show more

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Cited by 4 publications
(7 citation statements)
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References 11 publications
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“…In this case the total energy of such systems directly shows the influence of the flat-plane condition, with the slope of the resulting lines dictated by the difference in ionization potential and electron affinity of the system and its associated reservoir . As we will show, the constrained configuration interaction methodology originally developed by Zeiss and Whitehead can be adapted to achieve arbitrary charge and spin redistributions in these systems by constraining full-configuration interaction wave functions to Mulliken (spin)­populations. Not only will the resulting energies obtained at each bonding distance allow us to computationally illustrate the effects of the flat-plane conditions in the limit to infinity, they will also provide useful reference data for the exact asymptotic behavior toward infinity and lead to more chemical insight into those flat-plane conditions.…”
Section: Introductionmentioning
confidence: 92%
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“…In this case the total energy of such systems directly shows the influence of the flat-plane condition, with the slope of the resulting lines dictated by the difference in ionization potential and electron affinity of the system and its associated reservoir . As we will show, the constrained configuration interaction methodology originally developed by Zeiss and Whitehead can be adapted to achieve arbitrary charge and spin redistributions in these systems by constraining full-configuration interaction wave functions to Mulliken (spin)­populations. Not only will the resulting energies obtained at each bonding distance allow us to computationally illustrate the effects of the flat-plane conditions in the limit to infinity, they will also provide useful reference data for the exact asymptotic behavior toward infinity and lead to more chemical insight into those flat-plane conditions.…”
Section: Introductionmentioning
confidence: 92%
“…In order to redistribute charges and spins over the open subsystem and the reservoir, we will constrain the ground state wave function of the total system to attain a particular feature of the open system (in this study, those features will be Mulliken (spin)­populations of atomic domains). The framework needed to impose such constraints was initially developed by Mukherji and Karplus in the context of observables like the dipole moment in unrestricted variational theories and has been significantly expanded upon since then, , culminating in modern day applications such as, among others, constrained density functional theory, electronegativity equalization, ,,, and restricted open-shell Hartree–Fock reformulated as a constrained unrestricted Hartree–Fock model . In order to make this paper self-contained, we will recall the necessary theoretical concepts needed to construct the framework that will allow us to constrain the (spin)­population of such an open subsystem.…”
Section: Theorymentioning
confidence: 99%
“…In order to constrain a particular wave function to a target value S z ,target for the spin expectation value ⟨S ̂z⟩ along the axis of the applied magnetic field, we can use the formalism of constraints. [67][68][69]71 In this framework, the Lagrangian…”
Section: ■ Theorymentioning
confidence: 99%
“…In order to constrain a particular wave function to a target value S z ,target for the spin expectation value ⟨ Ŝ z ⟩ along the axis of the applied magnetic field, we can use the formalism of constraints. , In this framework, the Lagrangian is optimized, and the optimality condition for the wave function parameters p (which are the spinor rotation generators κ in the case of GHF and the ONV expansion coefficients c in the case of FCI) causes the usual molecular magnetic Hamiltonian (cf. eq ) to be replaced by the modified Hamiltonian where the term −μ Ŝ z represents an additional one-electron potential .…”
Section: Theorymentioning
confidence: 99%
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