The DOI matches its Crossref record.
Charge Exchange between Gaseous Ions and Atoms
Abstract
A calculation of symmetric resonant charge exchange cross sections has been made for a selection of atoms in the velocity range where the impact parameter method is applicable. Cross sections for other atoms can be estimated by interpolating in terms of their ionization potentials. The results are in fair agreement with experiment. A similar calculation has been attempted for asymmetric nonresonant charge exchange processes. The approximations used are more restrictive in this calculation, the calculations being only semiquantitative in nature. The cross section of an asymmetric charge exchange process is determined in terms of the ΔE of the reaction and the ``average'' ionization potential of the two atoms. The results are qualitatively in agreement with experiment. A very brief discussion of approaches for extrapolating data to lower velocities, where the rectilinear orbit impact parameter method is not applicable, is given.
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
Resonance ionization spectroscopy and one-atom detection
Hurst, G. S., Payne, M. G., Kramer, S. D., & Young, J. P. (1979) · Reviews of Modern Physics · doi:10.1103/revmodphys.51.767 · Cited by 527
Hybrid 3D model for the interaction of plasma thruster plumes with nearby objects
Cichocki, F., Domínguez-Vázquez, A., Merino, M., & Ahedo, E. (2017) · Plasma Sources Science and Technology · doi:10.1088/1361-6595/aa986e · Cited by 67
A collisionless plasma thruster plume expansion model
Merino, M., Cichocki, F., & Ahedo, E. (2015) · Plasma Sources Science and Technology · doi:10.1088/0963-0252/24/3/035006 · Cited by 58
Metadata
- Authors
- Rapp, D., & Francis, W. E.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 1962-12-01
- Volume
- 37
- Issue
- 11
- Pages
- 2631-2645
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2000663474
- Cited by
- 807
- References
- 0
- FWCI
- 9.47
- 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: Charge Exchange between Gaseous Ions and Atoms. https://app.cochat.ai/papers/10.1063/1.1733066
- The paper
- Rapp, D., & Francis, W. E. (1962). Charge Exchange between Gaseous Ions and Atoms. The Journal of Chemical Physics. https://doi.org/10.1063/1.1733066
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.
