The DOI matches its Crossref record.
Surface Analysis of Polymers by XPS and Static SIMS
Abstract
This book provides an in-depth treatment of the instrumentation, physical bases and applications of X-ray photoelectron spectroscopy (XPS) and static secondary ion mass spectroscopy (SSIMS) with a specific focus on the subject of polymeric materials. XPS and SSIMS are widely accepted as the two most powerful techniques for polymer surface chemical analysis, particularly in the context of industrial research and problem solving. In this book, the techniques of XPS and SSIMS are described and in each case the author explains what type of information may be obtained. The book also includes details of case studies emphasising the complementary and joint application of XPS and SSIMS in the investigation of polymer surface structure and its relationship to the properties of the material. This book will be of value to academic and industrial researchers interested in polymer surfaces and surface analysis.
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
Molecular Layer Deposition of Alucone Polymer Films Using Trimethylaluminum and Ethylene Glycol
Dameron, A. A., Seghete, D., Burton, B. B., Davidson, S. D., Cavanagh, A. S., Bertrand, J. A., & George, S. M. (2008) · Chemistry of Materials · doi:10.1021/cm7032977 · Cited by 342
Chemical and Structural Disorder in Eumelanins: A Possible Explanation for Broadband Absorbance
Tran, M. L., Powell, B. J., & Meredith, P. (2006) · Biophysical Journal · doi:10.1529/biophysj.105.069096 · Cited by 286
Surface strategies for control of neuronal cell adhesion: A review
Roach, P., Parker, T., Gadegaard, N., & Alexander, M. R. (2010) · Surface Science Reports · doi:10.1016/j.surfrep.2010.07.001 · Cited by 180
Metadata
- Authors
- Briggs, D.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1998-04-02
- OpenAlex
- W63483200
- Cited by
- 772
- References
- 0
- FWCI
- 2.68
- Type
- book
- 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: Surface Analysis of Polymers by XPS and Static SIMS. https://app.cochat.ai/papers/10.1017/cbo9780511525261
- The paper
- Briggs, D. (1998). Surface Analysis of Polymers by XPS and Static SIMS. Cambridge University Press eBooks. https://doi.org/10.1017/cbo9780511525261
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.