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Cited by 653

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Single-molecule chemistry

Ho, W.·2002·The Journal of Chemical Physics

Abstract

The ability to probe individual atoms and molecules have made it possible to reveal properties which otherwise would be hidden in the study of an ensemble of atoms and molecules. The scanning tunneling microscope (STM) with its unmatched spatial resolution and versatility literally allows us to touch atoms and molecules one at a time and to carry out experiments which previously were only imagined. One of the great attributes of the STM is that it provides a real space view of the individual molecules and the atomic landscape of their environment, thus removing many of the uncertainties surrounding the nature of the system under study. Combining its imaging, manipulation, spectroscopic characterization, and chemical modification capabilities, the STM has enabled direct visualization of chemistry by revealing the fundamental properties of atoms and molecules and their interactions with each other and the environment. While femtosecond lasers have made it possible to study chemistry at the temporal limit, the STM provides an understanding of chemistry at the spatial limit.

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Metadata

Authors
Ho, W.
Venue
The Journal of Chemical Physics
Published
2002-12-22
Volume
117
Issue
24
Pages
11033-11061
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W2047973394
Cited by
653
References
3
FWCI
24.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Single-molecule chemistry. https://app.cochat.ai/papers/10.1063/1.1521153
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Ho, W. (2002). Single-molecule chemistry. The Journal of Chemical Physics. https://doi.org/10.1063/1.1521153

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.