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Programmed self-assembly of tetrapod nanoparticles with an amphiphilic surface pattern: the effect of arm length and hydrophobic ratio

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Abstract

We studied the self-assembly processes and morphologies of tetrapod nanoparticle solutions using dissipative particle dynamics (DPD) simulations. Composite-shaped nanoparticles, such as a tetrapod model with an amphiphilic surface pattern, were also synthesised experimentally. We programmed nanoparticle self-assembly using the DPD results at various values of the hydrophobic ratio (HR) and arm length (AL). Considering these two parameters, we observed the self-assembly processes and morphologies in a tetrapod nanoparticle solution. As a result, it was found that the HR and AL of tetrapod nanoparticles were effective parameters for controlling their self-assembly processes or structures under equilibrium. In this study, we programmed the AL or HR parameters, and we report their influences on self-assembly. Our simulations offer a guide to controlling the morphologies of self-assembled tetrapod nanoparticles, which constitute novel systems that may find applications in nanofluidic devices.

Graphical abstract: Programmed self-assembly of tetrapod nanoparticles with an amphiphilic surface pattern: the effect of arm length and hydrophobic ratio

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Publication details

The article was received on 23 Aug 2019, accepted on 04 Oct 2019 and first published on 04 Oct 2019


Article type: Paper
DOI: 10.1039/C9ME00112C
Mol. Syst. Des. Eng., 2019, Advance Article

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    Programmed self-assembly of tetrapod nanoparticles with an amphiphilic surface pattern: the effect of arm length and hydrophobic ratio

    Y. Araki, Y. Kobayashi and N. Arai, Mol. Syst. Des. Eng., 2019, Advance Article , DOI: 10.1039/C9ME00112C

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