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

Yusuke Araki, Yusei Kobayashi, Noriyoshi Arai

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)1095-1102
Number of pages8
JournalMolecular Systems Design and Engineering
Volume4
Issue number6
DOIs
Publication statusPublished - 2019 Dec

ASJC Scopus subject areas

  • Chemistry (miscellaneous)
  • Chemical Engineering (miscellaneous)
  • Biomedical Engineering
  • Energy Engineering and Power Technology
  • Process Chemistry and Technology
  • Industrial and Manufacturing Engineering
  • Materials Chemistry

Fingerprint Dive into the research topics of 'Programmed self-assembly of tetrapod nanoparticles with an amphiphilic surface pattern: The effect of arm length and hydrophobic ratio'. Together they form a unique fingerprint.

Cite this