The DOI matches its Crossref record.
Optimal control of selective vibrational excitation in harmonic linear chain molecules
Abstract
A formalism for designing an optical field for selective vibrational excitation in linear harmonic chain molecules is presented based on optimal control theory. The optimizing functional producing the field designs is flexible to allow for the imposition of desirable laboratory and theoretical constraints. The designed optimal fields, which successfully lead to local bond excitations, exhibit complex structure on the time scale of 10 fs. Analysis of the optimal fields shows a high degree of cooperativety between the temporal structure of the fields and the dynamical capabilities of the molecules. It is generally impossible using only spectral information to devise the optical field needed to selectively excite a local bond in a polyatomic molecule. These results explain why the previous intuitively based laboratory attempts at site specific chemistry have yielded disappointing results.
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
Cited by
Laser Control of Chemical Reactions
Zare, R. N. (1998) · Science · doi:10.1126/science.279.5358.1875 · Cited by 580
Quantum mechanical optimal control of physical observables in microsystems
Shi, S., & Rabitz, H. (1990) · The Journal of Chemical Physics · doi:10.1063/1.458438 · Cited by 323
Self-citationSimulating the vibrational quantum dynamics of molecules using photonics
Sparrow, C., Martín-López, E., Maraviglia, N., Neville, A., Harrold, C., Carolan, J., Joglekar, Y. N., Hashimoto, T., Matsuda, N., O’Brien, J. L., et al. (2018) · Nature · doi:10.1038/s41586-018-0152-9 · Cited by 230
Metadata
- Authors
- Shi, S., Woody, A., & Rabitz, H.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 1988-06-01
- Volume
- 88
- Issue
- 11
- Pages
- 6870-6883
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2055885954
- Cited by
- 440
- References
- 0
- FWCI
- 8.98
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Optimal control of selective vibrational excitation in harmonic linear chain molecules. https://app.cochat.ai/papers/10.1063/1.454384
- The paper
- Shi, S., Woody, A., & Rabitz, H. (1988). Optimal control of selective vibrational excitation in harmonic linear chain molecules. The Journal of Chemical Physics. https://doi.org/10.1063/1.454384
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.