A Versatile Route to Assemble Semiconductor Nanoparticles into Functional Aerogels by Means of Trivalent Cations

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Zámbó, D. et al.: A Versatile Route to Assemble Semiconductor Nanoparticles into Functional Aerogels by Means of Trivalent Cations. In: Small 16 (2020), Nr. 16, 1906934. DOI: https://doi.org/10.1002/smll.201906934

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/9751

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Sum total of downloads: 155




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Abstract: 
3D nanoparticle assemblies offer a unique platform to enhance and extendthe functionality and optical/electrical properties of individual nanoparticles.Especially, a self-supported, voluminous, and porous macroscopic material builtup from interconnected semiconductor nanoparticles provides new possibilitiesin the field of sensing, optoelectronics, and photovoltaics. Herein, a method isdemonstrated for assembling semiconductor nanoparticle systems containingbuilding blocks possessing different composition, size, shape, and surfaceligands. The method is based on the controlled destabilization of the particlestriggered by trivalent cations (Y3+, Yb3+, and Al3+). The effect of the cations isinvestigated via X-ray photoelectron spectroscopy. The macroscopic, self-supportedaerogels consist of the hyperbranched network of interconnected CdSe/CdS dot-in-rods, or CdSe/CdS as well as CdSe/CdTe core-crown nanoplatelets isused to demonstrate the versatility of the procedure. The non-oxidative assemblymethod takes place at room temperature without thermal activation in severalhours and preserves the shape and the fluorescence of the building blocks. Theassembled nanoparticle network provides longer exciton lifetimes with retainedphotoluminescence quantum yields, that make these nanostructured materialsa perfect platform for novel multifunctional 3D networks in sensing. Various setsof photoelectrochemical measurements on the interconnected semiconductornanorod structures also reveal the enhanced charge carrier separation.
License of this version: CC BY-NC 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2020
Appears in Collections:Naturwissenschaftliche Fakultät

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pos. country downloads
total perc.
1 image of flag of Germany Germany 91 58.71%
2 image of flag of United States United States 19 12.26%
3 image of flag of China China 9 5.81%
4 image of flag of France France 5 3.23%
5 image of flag of Czech Republic Czech Republic 5 3.23%
6 image of flag of Russian Federation Russian Federation 4 2.58%
7 image of flag of Sweden Sweden 3 1.94%
8 image of flag of Italy Italy 3 1.94%
9 image of flag of Japan Japan 2 1.29%
10 image of flag of Spain Spain 1 0.65%
    other countries 13 8.39%

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