Reversible Electron-Beam Patterning of Colloidal Nanoparticles at Fluid Interfaces

The directed self-assembly of colloidal nanoparticles (NPs) using external fields guides the formation of sophisticated hierarchical materials but becomes less effective with decreasing particle size. As an alternative, electron-beam-driven assembly offers a potential avenue for targeted nanoscale manipulation, yet remains poorly controlled due to the variety and complexity of beam interaction mechanisms. Here, we investigate the beam-particle interaction of silica NPs pinned to the fluid-vacuum interface of ionic liquid droplets. In these experiments, scanning electron microscopy of the droplet surface resolves NP trajectories over space and time while simultaneously driving their reorganization. With this platform, we demonstrate the ability to direct particle transport and create transient, reversible colloidal patterns on the droplet surface. By tuning the beam voltage, we achieve precise control over both the strength and sign of the beam-particle interaction, with low voltages repelling particles and high voltages attracting them. This response stems from the formation of well-defined solvent flow fields generated from trace radiolysis of the ionic liquid, as determined through statistical analysis of single-particle trajectories under varying solvent composition. Altogether, electron-beam-guided assembly introduces a versatile strategy for nanoscale colloidal manipulation, offering new possibilities for the design of dynamic, reconfigurable systems with applications in adaptive photonics and catalysis.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2024-12-03
DOI
https://doi.org/10.1021/acsami.4c14882
Citations
2
Primary Topic
Pickering emulsions and particle stabilization
Type
article
Field-Weighted Citation Impact
0.23

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article

Reversible Electron-Beam Patterning of Colloidal Nanoparticles at Fluid Interfaces

Naomi S. Ginsberg, Veronica Guo, Jonathan G. Raybin, Ethan J. Dunsworth
2 citations
ACS Applied Materials & Interfaces
Pickering emulsions and particle stabilization
0.23
article

Reversible Electron-Beam Patterning of Colloidal Nanoparticles at Fluid Interfaces

Naomi S. Ginsberg, Veronica Guo, Jonathan G. Raybin, Ethan J. Dunsworth
article en
2 citations

Abstract

The directed self-assembly of colloidal nanoparticles (NPs) using external fields guides the formation of sophisticated hierarchical materials but becomes less effective with decreasing particle size. As an alternative, electron-beam-driven assembly offers a potential avenue for targeted nanoscale manipulation, yet remains poorly controlled due to the variety and complexity of beam interaction mechanisms. Here, we investigate the beam-particle interaction of silica NPs pinned to the fluid-vacuum interface of ionic liquid droplets. In these experiments, scanning electron microscopy of the droplet surface resolves NP trajectories over space and time while simultaneously driving their reorganization. With this platform, we demonstrate the ability to direct particle transport and create transient, reversible colloidal patterns on the droplet surface. By tuning the beam voltage, we achieve precise control over both the strength and sign of the beam-particle interaction, with low voltages repelling particles and high voltages attracting them. This response stems from the formation of well-defined solvent flow fields generated from trace radiolysis of the ionic liquid, as determined through statistical analysis of single-particle trajectories under varying solvent composition. Altogether, electron-beam-guided assembly introduces a versatile strategy for nanoscale colloidal manipulation, offering new possibilities for the design of dynamic, reconfigurable systems with applications in adaptive photonics and catalysis.

ACS Applied Materials & InterfacesVol. 16(49)
Lawrence Berkeley National Laboratory (US), University of California, Los Angeles (US), Kavli Energy NanoScience Institute (US), University of California, Berkeley (US)
David and Lucile Packard Foundation, Division of Materials Research
Openalex Percentile: Top 49%
Pickering emulsions and particle stabilization
0.23
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