D
David Z. Goodson
Researcher at Southern Methodist University
Publications - 22
Citations - 487
David Z. Goodson is an academic researcher from Southern Methodist University. The author has contributed to research in topics: Perturbation theory & Singularity. The author has an hindex of 13, co-authored 22 publications receiving 471 citations. Previous affiliations of David Z. Goodson include University of Massachusetts Amherst.
Papers
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Summation of asymptotic expansions of multiple-valued functions using algebraic approximants: Application to anharmonic oscillators
A. V. Sergeev,David Z. Goodson +1 more
TL;DR: In this paper, the divergence Rayleigh-Schrodinger perturbation expansions for energy eigenvalues of cubic, quartic, sextic and octic oscillators are summed using algebraic approximants.
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Extrapolating the coupled-cluster sequence toward the full configuration-interaction limit
TL;DR: In this article, the convergence of coupled-cluster energy sequences toward the full configuration interaction (FCI) limit is investigated for a variety of atoms and small molecules for which FCI energies are available, and the results are compared with those from Moller-Plesset perturbation theory.
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Large-order dimensional perturbation theory for H2+
TL;DR: An asymptotic expansion for the electronic energy of H 2 + is developed in inverse powers of D, the spatial dimension, and the singularity structure in the D → ∞ limit is elucidated by analysis of the coefficients at large order.
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Large‐order dimensional perturbation theory for two‐electron atoms
TL;DR: In this article, an asymptotic expansion for the electronic energy of two-electron atoms is developed in powers of δ = 1/D, the reciprocal of the Cartesian dimensionality of space.
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A linear algebraic method for exact computation of the coefficients of the 1/D expansion of the Schrödinger equation
M. Dunn,Timothy C. Germann,David Z. Goodson,Carol A. Traynor,John D. Morgan,Deborah K. Watson,Dudley R. Herschbach +6 more
TL;DR: This work presents a new algorithm formulated completely in terms of tensor arithmetic, which makes it easier to extend to systems with more than three degrees of freedom and to excited states, simplifies the development of computer codes, simplifying memory management, and makes it well suited for implementation on parallel computer architectures.