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Cited by 485

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Direct semiclassical simulation of photochemical processes with semiempirical wave functions

Granucci, G., Persico, M., Toniolo, A.·2001·The Journal of Chemical Physics

Abstract

We describe a new method for the simulation of excited state dynamics, based on classical trajectories and surface hopping, with direct semiempirical calculation of the electronic wave functions and potential energy surfaces (DTSH method). Semiempirical self-consistent-field molecular orbitals (SCF MO’s) are computed with geometry-dependent occupation numbers, in order to ensure correct homolytic dissociation, fragment orbital degeneracy, and partial optimization of the lowest virtuals. Electronic wave functions are of the MO active space configuration interaction (CI) type, for which analytic energy gradients have been implemented. The time-dependent electronic wave function is propagated by means of a local diabatization algorithm which is inherently stable also in the case of surface crossings. The method is tested for the problem of excited ethylene nonadiabatic dynamics, and the results are compared with recent quantum mechanical calculations.

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Crossref · 10.1063/1.1376633

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Metadata

Authors
Granucci, G., Persico, M., & Toniolo, A.
Venue
The Journal of Chemical Physics
Published
2001-06-22
Volume
114
Issue
24
Pages
10608-10615
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W2080194069
Cited by
485
References
22
FWCI
3.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Direct semiclassical simulation of photochemical processes with semiempirical wave functions. https://app.cochat.ai/papers/10.1063/1.1376633
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Granucci, G., Persico, M., & Toniolo, A. (2001). Direct semiclassical simulation of photochemical processes with semiempirical wave functions. The Journal of Chemical Physics. https://doi.org/10.1063/1.1376633

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.