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Cited by 301

The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.

Polymer Mediated Self-Assembly of Magnetic Nanoparticles

Sun, Shouheng, Anders, Simone, Hamann, Hendrik F., Thiele, Jan-U., Baglin, J. E. E., Thomson, Thomas, Fullerton, Eric E., Murray, C. B., Terris, Bruce D.·2002·Journal of the American Chemical Society

Abstract

We present a simple polymer-mediated process of assembling magnetic FePt nanoparticles on a solid substrate. Alternatively absorbing the PEI molecule and FePt nanoparticles on a HO-terminated solid surface leads to a smooth FePt nanoparticle assembly with controlled assembly thickness and dimension. Magnetic measurements show that the thermally annealed FePt nanoparticle assembly as thin as three nanoparticle layers is ferromagnetic. The magnetization direction of this thin FePt nanoparticle assembly is readily controlled with the laser-assisted magnetic writing. The reported process can be applied to various substrates, nanoparticles, and functional macromolecules and will be useful for future magnetic nanodevice fabrication.

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Crossref · 10.1021/ja0176503

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Metadata

Authors
Sun, S., Anders, S., Hamann, H. F., Thiele, J.-U., Baglin, J. E. E., Thomson, T., Fullerton, E. E., Murray, C. B., & Terris, B. D.
Venue
Journal of the American Chemical Society
Published
2002-02-27
Volume
124
Issue
12
Pages
2884-2885
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W1975061774
Cited by
301
References
18
FWCI
21.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Polymer Mediated Self-Assembly of Magnetic Nanoparticles. https://app.cochat.ai/papers/10.1021/ja0176503
The paper
Sun, S., Anders, S., Hamann, H. F., Thiele, J.-U., Baglin, J. E. E., Thomson, T., Fullerton, E. E., Murray, C. B., & Terris, B. D. (2002). Polymer Mediated Self-Assembly of Magnetic Nanoparticles. Journal of the American Chemical Society. https://doi.org/10.1021/ja0176503

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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.