The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Ab Initio Multiple Spawning: Photochemistry from First Principles Quantum Molecular Dynamics
Abstract
The ab initio multiple spawning (AIMS) method is a time-dependent formulation of quantum chemistry, whereby the nuclear dynamics and electronic structure problems are solved simultaneously. Quantum mechanical effects in the nuclear dynamics are included, especially the nonadiabatic effects which are crucial in modeling dynamics on multiple electronic states. The AIMS method makes it possible to describe photochemistry from first principles molecular dynamics, with no empirical parameters. We describe the method and present the application to two molecules of interest in organic photochemistry ethylene and cyclobutene. We show that the photodynamics of ethylene involves both covalent and ionic electronic excited states and the return to the ground state proceeds through a pyramidalized geometry. For the photoinduced ring opening of cyclobutene, we show that the disrotatory motion predicted by the Woodward−Hoffmann rules is established within the first 50 fs after optical excitation.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
On the product of semi-groups of operators
Trotter, H. F. (1959) · Proceedings of the American Mathematical Society · doi:10.1090/s0002-9939-1959-0108732-6 · Cited by 2,282
Ben-Nun, M., & Martı́nez, T. J. (1998) · The Journal of Chemical Physics · doi:10.1063/1.476142 · Cited by 399
Self-citation
Cited by
Recent Advances and Perspectives on Nonadiabatic Mixed Quantum–Classical Dynamics
Crespo-Otero, R., & Barbatti, M. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00577 · Cited by 733
Polynomial-time quantum algorithm for the simulation of chemical dynamics
Kassal, I., Jordan, S. P., Love, P. J., Mohseni, M., & Aspuru-Guzik, A. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0808245105 · Cited by 385
Multireference Electron Correlation Methods: Journeys along Potential Energy Surfaces
Park, J. W., Al-Saadon, R., MacLeod, M. K., Shiozaki, T., & Vlaisavljevich, B. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00496 · Cited by 155
Prospects of quantum computing for molecular sciences
Liu, H., Low, G. H., Steiger, D. S., Häner, T., Reiher, M., & Troyer, M. (2022) · Materials Theory · doi:10.1186/s41313-021-00039-z · Cited by 73
Efficient geometric integrators for nonadiabatic quantum dynamics. I. The adiabatic representation
Choi, S., & Vaníček, J. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5092611 · Cited by 25
Metadata
- Authors
- Ben-Nun, M., Quenneville, J., & Martínez, T. J.
- Venue
- The Journal of Physical Chemistry A
- Publisher
- American Chemical Society (ACS)
- Published
- 2000-05-16
- Volume
- 104
- Issue
- 22
- Pages
- 5161-5175
- ISSN
- 1089-5639 (ISSN-L)
- 1520-5215
- OpenAlex
- W2042951945
- Cited by
- 834
- References
- 2
- FWCI
- 8.53
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.