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The polyol process: a unique method for easy access to metal nanoparticles with tailored sizes, shapes and compositions
Abstract
This review aims to give a comprehensive account of the strategies used to prepare mono metallic nanoparticles and multimetallic materials in liquid polyols and to exemplify the potential of this method.
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Metadata
- Authors
- Fiévet, F., Ammar-Merah, S., Brayner, R., Chau, F., Giraud, M., Mammeri, F., Peron, J., Piquemal, J.-Y., Sicard, L., & Viau, G.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2018
- Volume
- 47
- Issue
- 14
- Pages
- 5187-5233
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2808586993
- Cited by
- 629
- References
- 288
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- closed
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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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The polyol process: a unique method for easy access to metal nanoparticles with tailored sizes, shapes and compositions. https://app.cochat.ai/papers/10.1039/c7cs00777a
- The paper
- Fiévet, F., Ammar-Merah, S., Brayner, R., Chau, F., Giraud, M., Mammeri, F., Peron, J., Piquemal, J.-Y., Sicard, L., & Viau, G. (2018). The polyol process: a unique method for easy access to metal nanoparticles with tailored sizes, shapes and compositions. Chemical Society Reviews. https://doi.org/10.1039/c7cs00777a
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.