Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 409

The DOI matches its Crossref record.

Current and future applications of nanoclusters

Schmid, Günter, Bäumle, Monika, Geerkens, Marcus, Heim, Ingo, Osemann, Christoph, Sawitowski, Thomas·1999·Chemical Society Reviews

Abstract

This article deals with some recent developments in metal and in semiconducting nanocluster science. Our studies on the properties, mainly of metal nanoclusters, with respect to future and also to current applications are reviewed, including a series of unpublished results. The general properties of metal clusters of one up to a few nanometers are discussed on the basis of numerous physical investigations in the course of the last few years. Quantum size effects open the door to novel future technologies. The success of future applications of nanoclusters will strongly depend on the availability of three-, two- or one-dimensionally organized materials. Our own very recent results are promising, but also indicate that much more work will be necessary. Much more realistic is the use of metal nanoclusters in heterogeneous catalysis. Finally, novel developments in generating semiconducting nanomaterials in transparent, nanoporous alumina membranes are discussed. CdS and GaN can easily be prepared inside the pores to give photoluminescent foils of unlimited size.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1039/a801153b

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 409

Metadata

Authors
Schmid, G., Bäumle, M., Geerkens, M., Heim, I., Osemann, C., & Sawitowski, T.
Venue
Chemical Society Reviews
Published
1999
Volume
28
Issue
3
Pages
179-185
ISSN
  • 0306-0012 (ISSN-L)
  • 1460-4744
OpenAlex
W2093038592
Cited by
409
References
0
FWCI
15.73
Type
journal article
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: Current and future applications of nanoclusters. https://app.cochat.ai/papers/10.1039/a801153b
The paper
Schmid, G., Bäumle, M., Geerkens, M., Heim, I., Osemann, C., & Sawitowski, T. (1999). Current and future applications of nanoclusters. Chemical Society Reviews. https://doi.org/10.1039/a801153b

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.