2014
DOI: 10.1021/ct401008s
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Static and Dynamical Correlation in Diradical Molecules by Quantum Monte Carlo Using the Jastrow Antisymmetrized Geminal Power Ansatz

Abstract: Diradical molecules are essential species involved in many organic and inorganic chemical reactions. The computational study of their electronic structure is often challenging, because a reliable description of the correlation, and in particular of the static one, requires multireference techniques. The Jastrow correlated antisymmetrized geminal power (JAGP) is a compact and efficient wave function ansatz, based on the valence-bond representation, which can be used within quantum Monte Carlo (QMC) approaches. … Show more

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Cited by 59 publications
(116 citation statements)
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“…13,25,30,32,34,35 Furthermore, given a previously optimized trial wave function Ψ T (x ̅ ;{α ̅ }), it is possible to recover all of the electronic correlation depending only on its nodal surface, through the Diffusion Monte Carlo (DMC) algorithms, like the Lattice Regularized Diffusion Monte Carlo 36 (LRDMC) used in this work.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…13,25,30,32,34,35 Furthermore, given a previously optimized trial wave function Ψ T (x ̅ ;{α ̅ }), it is possible to recover all of the electronic correlation depending only on its nodal surface, through the Diffusion Monte Carlo (DMC) algorithms, like the Lattice Regularized Diffusion Monte Carlo 36 (LRDMC) used in this work.…”
Section: Methodsmentioning
confidence: 99%
“…25 In the following sections, we will briefly illustrate the three representations of AGP used in our investigation, and the Jastrow factor.…”
Section: Methodsmentioning
confidence: 99%
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“…Although we have not performed, for computational reasons, the continuous extrapolation of the lattice mesh size a → 0, we know from previous works 32,56 and preliminary calculations that the bias given by the finite mesh size a = 0.3 au is almost negligible in the evaluations of the considered energy differences.…”
Section: Computational Detailsmentioning
confidence: 99%