2015
DOI: 10.1039/c4cp04109g
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Analytic gradients, geometry optimization and excited state potential energy surfaces from the particle-particle random phase approximation

Abstract: The energy gradient for electronic excited states is of immense interest not only for spectroscopy but also for the theoretical study of photochemical reactions. We present the analytic excited state energy gradient of the particle-particle random phase approximation (pp-RPA). The analytic gradient formula is developed from an approach similar to that of time-dependent density-functional theory (TDDFT). The formula is verified for both the Hartree-Fock and (Generalized) Kohn-Sham reference states via compariso… Show more

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Cited by 25 publications
(39 citation statements)
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“…It was later further extended to describing excitations (81)(82)(83)(84). For excited states calculation, it starts from a two-electron deficient (N−2) system described with DFT correlation, then recovers a series of neutral states by adding back two explicitly correlated electrons.…”
Section: Significancementioning
confidence: 99%
“…It was later further extended to describing excitations (81)(82)(83)(84). For excited states calculation, it starts from a two-electron deficient (N−2) system described with DFT correlation, then recovers a series of neutral states by adding back two explicitly correlated electrons.…”
Section: Significancementioning
confidence: 99%
“…25,29 Note that the noncanonical form of the generalized ph- or pp-RPA eigenvalue problem is used. 47 Because this expression is invariant with rotations, as we have shown (see the SI), we can perform the optimization in the occupied-virtual space only. The ph-RPA can be derived within the framework of DFT via the adiabatic-connection fluctuation—dissipation (ACFD) theorem; 23,4850 the pp-RPA can also be derived in the equivalence of ACFD in the pairing channel.…”
mentioning
confidence: 99%
“…The pp-RPA and pp-TDA were also further applied to excited states calculations including both excitation energy calculation 17 and geometry optimization. 20 These pp methods start from a two-electron defficient (N-2) reference, and target the neutral (N) states by adding two electrons, thus describing the ground and excited states on the same footing. Similar to SF-TDDFT, the interaction between ground and excited states are naturally taken into consideration.…”
mentioning
confidence: 99%