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Cited by 279

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

General Approach to Compute Vibrationally Resolved One-Photon Electronic Spectra

Bloino, Julien, Biczysko, Malgorzata, Santoro, Fabrizio, Barone, Vincenzo·2010·Journal of Chemical Theory and Computation

Abstract

An effective time-independent approach to compute vibrationally resolved optical spectra from first principles is generalized toward the computation of one-photon electronic spectra induced by either electric or magnetic transition dipoles or by their mutual interaction. These encompass absorption, emission, and circular dichroism spectra. Additionally, the proposed computational scheme is extended to cover a broad range of approximations to evaluate vibronic transitions within both vertical and adiabatic frameworks and to be able to take into account the effects of the temperature. The presented computational tool is integrated into a general purpose computational chemistry package and offers a simple and an easy-to-use way to evaluate one-photon electronic spectra, starting from electronic structure calculations chosen according to the system under study, from fully quantum mechanical descriptions to discrete/continuum quantum mechanical/MM/polarizable continuum models.

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Crossref · 10.1021/ct9006772

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Metadata

Authors
Bloino, J., Biczysko, M., Santoro, F., & Barone, V.
Venue
Journal of Chemical Theory and Computation
Published
2010-03-12
Volume
6
Issue
4
Pages
1256-1274
ISSN
  • 1549-9618 (ISSN-L)
  • 1549-9626
OpenAlex
W2090502695
Cited by
279
References
3
FWCI
8.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: General Approach to Compute Vibrationally Resolved One-Photon Electronic Spectra. https://app.cochat.ai/papers/10.1021/ct9006772
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Bloino, J., Biczysko, M., Santoro, F., & Barone, V. (2010). General Approach to Compute Vibrationally Resolved One-Photon Electronic Spectra. Journal of Chemical Theory and Computation. https://doi.org/10.1021/ct9006772

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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.