Adaptive density-guided approach to double incremental potential energy surface construction

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  • Aarhus University
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Details

OriginalspracheEnglisch
Aufsatznummer194105
Seitenumfang1
FachzeitschriftThe journal of chemical physics
Jahrgang152
Ausgabenummer19
Frühes Online-Datum19 Mai 2020
PublikationsstatusVeröffentlicht - 21 Mai 2020

Abstract

We present a combination of the recently developed double incremental expansion of potential energy surfaces with the well-established adaptive density-guided approach to grid construction. This unique methodology is based on the use of an incremental expansion for potential energy surfaces, known as n-mode expansion; an incremental many-body representation of the electronic energy; and an efficient vibrational density-guided approach to automated determination of grid dimensions and granularity. The reliability of the method is validated calculating potential energy surfaces and obtaining fundamental excitation energies for three moderate-size chain-like molecular systems. The use of our methodology leads to considerable computational savings for potential energy surface construction compared to standard approaches while maintaining a high level of accuracy in the resulting potential energy surfaces. Additional investigations indicate that our method can be applied to covalently bound and strongly interacting molecular systems, even though these cases are known to be very unfavorable for fragmentation schemes. We therefore conclude that the presented methodology is a robust and flexible approach to potential energy surface construction, which introduces considerable computational savings without compromising the accuracy of vibrational spectra calculations.

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Adaptive density-guided approach to double incremental potential energy surface construction. / Artiukhin, Denis G. ; Klinting, Emil L.; König, Carolin et al.
in: The journal of chemical physics, Jahrgang 152, Nr. 19, 194105, 21.05.2020.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Artiukhin DG, Klinting EL, König C, Christiansen O. Adaptive density-guided approach to double incremental potential energy surface construction. The journal of chemical physics. 2020 Mai 21;152(19):194105. Epub 2020 Mai 19. doi: 10.1063/5.0004686
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abstract = "We present a combination of the recently developed double incremental expansion of potential energy surfaces with the well-established adaptive density-guided approach to grid construction. This unique methodology is based on the use of an incremental expansion for potential energy surfaces, known as n-mode expansion; an incremental many-body representation of the electronic energy; and an efficient vibrational density-guided approach to automated determination of grid dimensions and granularity. The reliability of the method is validated calculating potential energy surfaces and obtaining fundamental excitation energies for three moderate-size chain-like molecular systems. The use of our methodology leads to considerable computational savings for potential energy surface construction compared to standard approaches while maintaining a high level of accuracy in the resulting potential energy surfaces. Additional investigations indicate that our method can be applied to covalently bound and strongly interacting molecular systems, even though these cases are known to be very unfavorable for fragmentation schemes. We therefore conclude that the presented methodology is a robust and flexible approach to potential energy surface construction, which introduces considerable computational savings without compromising the accuracy of vibrational spectra calculations.",
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N1 - Funding Information: We thank Diana Madsen for providing us with the tetraphenyl and hexaphenyl FALCON coordinates and Leila Dzabbarova for exploratory computations on convergence of double incremental expansions. D.G.A. acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska–Curie Grant Agreement No. 835776. C.K. acknowledges support from the Deutsche Forschungsgemeinschaft (DFG) through the Emmy Noether Young Group Leader Programme (Project No. KO 5423/1-1). O.C. acknowledges support from the Danish Council for Independent Research through a Sapere Aude III Grant (No. DFF-4002-00015).

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