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Electron–molecule scattering cross-sections. I. Experimental techniques and data for diatomic molecules
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Zur Theorie des Durchgangs schneller Korpuskularstrahlen durch Materie
Bethe, H. (1930) · Annalen der Physik · doi:10.1002/andp.19303970303 · Cited by 4,076
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200 of 358 shown
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“Detailed overviews of the relevant cross-sections with nitrogen species are given in Brunger and Buckman [33], Itikawa [34], Tabata et al.”
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Metadata
- Authors
- Brunger, M. J., & Buckman, S. J.
- Venue
- Physics Reports
- Publisher
- Elsevier BV
- Published
- 2002-01
- Volume
- 357
- Issue
- 3-5
- Pages
- 215-458
- ISSN
- 0370-1573 (ISSN-L)
- OpenAlex
- W1976989330
- Cited by
- 326
- References
- 1
- FWCI
- 8.28
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Electron–molecule scattering cross-sections. I. Experimental techniques and data for diatomic molecules. https://app.cochat.ai/papers/10.1016/s0370-1573(01)00032-1
- The paper
- Brunger, M. J., & Buckman, S. J. (2002). Electron–molecule scattering cross-sections. I. Experimental techniques and data for diatomic molecules. Physics Reports. https://doi.org/10.1016/s0370-1573(01)00032-1
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.