4.8 Article

Programmable Assembly of Colloidal Nanoparticles Controlled by Electrostatic Potential Well

Journal

SMALL STRUCTURES
Volume 3, Issue 10, Pages -

Publisher

WILEY
DOI: 10.1002/sstr.202200066

Keywords

collective property; electrostatic potential wells; programmable assemblies; substrate potentials

Funding

  1. National Natural Science Foundation of China [22072104]
  2. National Key R&D Program of China (International Collaboration program) - Chinese Ministry of Science and Technology [2018YFE0200700]
  3. CIC
  4. 111 Project
  5. Joint International Research Laboratory of Carbon-Based Functional Materials and Devices

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Compared with individual colloidal nanoparticles, programmable nanoassemblies with well-defined configurations exhibit more prominent coupling effects and collective behaviors. However, the development of feasible approaches to assemble colloidal nanoparticles into an organized nanostructure on substrates remains a major challenge in nanotechnology. In this study, a facile strategy is developed to programmatically design diversified nanostructures through the rational capture of nanoparticles with flexibly adjustable particle types.
Compared with the individual colloidal nanoparticles, programmable nanoassemblies with well-defined configurations exhibit more prominent coupling effects and collective behaviors. The full realization of the unique superiority of these nano assemblies requires the development of feasible approaches to assemble colloidal nanoparticles into an organized nanostructure on substrates, which remains a major challenge in nanotechnology at present. Herein, a facile strategy is developed to programmatically design diversified nanostructures through the rational capture of nanoparticles with flexibly adjustable particle types, including their sizes, shapes, or components. Importantly, such a strategy takes advantage of a bowl-shaped electrostatic potential well that forms based on the combination of a positively charged nanoparticle and a negatively charged substrate, where theory and simulation are employed to reveal the notable role of the substrate potential. As a demonstration, a series of nanostructures with customized geometries and locations have been successfully fabricated, especially the asymmetric dimer structures, which bring about distinct localized surface plasmon resonance hybridization and coupling effects. Therefore, the joint computational-experimental showcase paves the way toward the preparation of ideal nanostructures, providing valuable insight into the development of optical encryption, smart sensing, sensitive bio-detection, and so on.

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