The DOI matches its Crossref record.
Ultrafast Molecular Reaction Dynamics in Real-Time: Progress Over a Decade
Abstract
One of the goals of researchers in the field of reaction dynamics is to develop an understanding of the elementary steps involved in a chemical reaction on a molecular level (see e.g. Ref. 1). The century-old Arrhenius rate law, a phenomenological description of the temperature dependence of rates of reactions in bulk, has been used extensively to deduce activation energies and frequency factors. The activated complex theory (also referred to as absolute rate theory or transition-state theory, see e.g. Refs. 2, 3) postulated more than 50 years ago, provides a useful interpretation of the Arrhenius rate parameters in terms of molecular properties. These parameters contain practical information about rates, but they do not express the molecular details of a reaction. At this juncture, two types of questions can be raised--one concerning the effects of the environment on rates in condensed media, and the other, the purely molecular aspects of reactions in the absence of an environment, i.e. in an isolated molecular system. We restrict our attention to the latter case for the purposes of this review.
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
Real-Time Probing of Electron Dynamics Using Attosecond Time-Resolved Spectroscopy
Ramasesha, K., Leone, S. R., & Neumark, D. M. (2016) · Annual Review of Physical Chemistry · doi:10.1146/annurev-physchem-040215-112025 · Cited by 225
Metadata
- Authors
- Khundkar, L. R., & Zewail, A. H.
- Venue
- Annual Review of Physical Chemistry
- Publisher
- Annual Reviews
- Published
- 1990-10
- Volume
- 41
- Issue
- 1
- Pages
- 15-60
- ISSN
- 0066-426X (ISSN-L)
- 1545-1593
- OpenAlex
- W2145926643
- Cited by
- 321
- References
- 0
- FWCI
- 20.99
- 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: Ultrafast Molecular Reaction Dynamics in Real-Time: Progress Over a Decade. https://app.cochat.ai/papers/10.1146/annurev.pc.41.100190.000311
- The paper
- Khundkar, L. R., & Zewail, A. H. (1990). Ultrafast Molecular Reaction Dynamics in Real-Time: Progress Over a Decade. Annual Review of Physical Chemistry. https://doi.org/10.1146/annurev.pc.41.100190.000311
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.