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Cited by 478

The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.

CHEMICAL FORCE MICROSCOPY

Noy, Aleksandr, Vezenov, Dmitri V., Lieber, Charles M.·1997·Annual Review of Materials Science

Abstract

▪ Abstract Atomic force microscopy is an imaging tool used widely in fundamental research, although it has, like other scanned probe microscopies, provided only limited information about the chemical nature of systems studied. Modification of force microscope probe tips by covalent linking of organic monolayers that terminate in well-defined functional groups enables direct probing of molecular interactions and imaging with chemical sensitivity. This new chemical force microscopy technique has been used to probe adhesion and frictional forces between distinct chemical groups in organic and aqueous solvents. Contact mechanics provide a framework to model the adhesive forces and to estimate the number of interacting molecular groups. In general, measured adhesive and frictional forces follow trends expected from the strengths of the molecular interactions, although solvation also plays an important role. Knowledge of these forces provides a basis for rationally interpretable mapping of a variety of chemical functionalities and processes such as protonation and ionization.

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Crossref · 10.1146/annurev.matsci.27.1.381

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Metadata

Authors
Noy, A., Vezenov, D. V., & Lieber, C. M.
Venue
Annual Review of Materials Science
Published
1997-08
Volume
27
Issue
1
Pages
381-421
ISSN
0084-6600 (ISSN-L)
OpenAlex
W3121345441
Cited by
478
References
79
FWCI
13.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: CHEMICAL FORCE MICROSCOPY. https://app.cochat.ai/papers/10.1146/annurev.matsci.27.1.381
The paper
Noy, A., Vezenov, D. V., & Lieber, C. M. (1997). CHEMICAL FORCE MICROSCOPY. Annual Review of Materials Science. https://doi.org/10.1146/annurev.matsci.27.1.381

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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.