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Cited by 326

The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.

Soft matter with soft particles

Likos, Christos N.·2006·Soft Matter

Abstract

In this review we present a summary of recent progress achieved in examining the equilibrium and dynamical properties of concentrated solutions of two novel kinds of soft matter systems: and starburst molecules known as . The two systems share a host of interesting properties. The both consist of highly branched polymers, they allow for tuning of their properties through modification of the macromolecular architecture and they are both representatives of a quite novel class of colloidal particles, termed . On the other hand there are also important differences, reflecting the fundamental difference in their architecture. It will be shown that a combination of scattering techniques and rheology with computer simulations and analytical methods from the realm of theoretical physics can shed light on the unusual properties of such systems. In this fashion, new ways appear for the manipulation of soft matter systems under external influences and promising perspectives for the fabrication of new materials are opened up and the versatility in manipulating soft matter is underlined.

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Crossref · 10.1039/b601916c

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Metadata

Authors
Likos, C. N.
Venue
Soft Matter
Published
2006
Volume
2
Issue
6
Pages
478
ISSN
  • 1744-683X (ISSN-L)
  • 1744-6848
OpenAlex
W2078175933
Cited by
326
References
60
FWCI
14.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Soft matter with soft particles. https://app.cochat.ai/papers/10.1039/b601916c
The paper
Likos, C. N. (2006). Soft matter with soft particles. Soft Matter. https://doi.org/10.1039/b601916c

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.