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Cited by 188

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Time-dependent configuration-interaction calculations of laser-pulse-driven many-electron dynamics: Controlled dipole switching in lithium cyanide

Krause, Pascal, Klamroth, Tillmann, Saalfrank, Peter·2005·The Journal of Chemical Physics

Abstract

We report simulations of laser-driven many-electron dynamics by means of the time-dependent configuration interaction singles (doubles) approach. The method accounts for the correlation of ground and excited states, is capable of describing explicitly time-dependent, nonlinear phenomena, and is systematically improvable. Lithium cyanide serves as a molecular test system in which the charge distribution and hence the dipole moment are shown to be switchable, in a controlled fashion, by (a series of) laser pulses which induce selective, state-to-state electronic transitions. One focus of our time-dependent calculations is the question of how fast the transition from the ionic ground state to a specific excited state that is embedded in a multitude of other states can be made, without creating an electronic wave packet.

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Metadata

Authors
Krause, P., Klamroth, T., & Saalfrank, P.
Venue
The Journal of Chemical Physics
Published
2005-08-15
Volume
123
Issue
7
Pages
074105
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W2043181099
Cited by
188
References
2
FWCI
5.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Time-dependent configuration-interaction calculations of laser-pulse-driven many-electron dynamics: Controlled dipole switching in lithium cyanide. https://app.cochat.ai/papers/10.1063/1.1999636
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Krause, P., Klamroth, T., & Saalfrank, P. (2005). Time-dependent configuration-interaction calculations of laser-pulse-driven many-electron dynamics: Controlled dipole switching in lithium cyanide. The Journal of Chemical Physics. https://doi.org/10.1063/1.1999636

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.