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Quantitative analysis of lateral force microscopy experiments
Abstract
The analysis of lateral force microscopy experiments is discussed with emphasis on calibration issues and the statistical treatment of the original data in order to obtain reliable quantitative results. This includes an extensive discussion about the statistical and systematical errors which have to be considered if experimental results obtained under different experimental conditions (such as different cantilevers, samples, humidities, with or without lubricant, etc.) have to be compared. The proposed data analysis procedure is exemplified using data acquired on germanium sulfide and highly oriented pyrolytic graphite.
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Citations
Cited by
Velocity Dependence of Atomic Friction
Gnecco, E., Bennewitz, R., Gyalog, T., Loppacher, C., Bammerlin, M., Meyer, E., & Güntherodt, H.-J. (2000) · Physical Review Letters · doi:10.1103/physrevlett.84.1172 · Cited by 649
Noy, A., Vezenov, D. V., & Lieber, C. M. (1997) · Annual Review of Materials Science · doi:10.1146/annurev.matsci.27.1.381 · Cited by 478
Schwarz, U. D., Zwörner, O., Köster, P., & Wiesendanger, R. (1997) · Physical Review B · doi:10.1103/physrevb.56.6987 · Cited by 290
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Metadata
- Authors
- Schwarz, U. D., Köster, P., & Wiesendanger, R.
- Venue
- Review of Scientific Instruments
- Publisher
- AIP Publishing
- Published
- 1996-07-01
- Volume
- 67
- Issue
- 7
- Pages
- 2560-2567
- ISSN
- 0034-6748 (ISSN-L)
- 1089-7623
- OpenAlex
- W2021397997
- Cited by
- 171
- References
- 0
- FWCI
- 4.80
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Quantitative analysis of lateral force microscopy experiments. https://app.cochat.ai/papers/10.1063/1.1147214
- The paper
- Schwarz, U. D., Köster, P., & Wiesendanger, R. (1996). Quantitative analysis of lateral force microscopy experiments. Review of Scientific Instruments. https://doi.org/10.1063/1.1147214
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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.
