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Optical nanomanipulation on solid substrates via optothermally-gated photon nudging.


ABSTRACT: Constructing colloidal particles into functional nanostructures, materials, and devices is a promising yet challenging direction. Many optical techniques have been developed to trap, manipulate, assemble, and print colloidal particles from aqueous solutions into desired configurations on solid substrates. However, these techniques operated in liquid environments generally suffer from pattern collapses, Brownian motion, and challenges that come with reconfigurable assembly. Here, we develop an all-optical technique, termed optothermally-gated photon nudging (OPN), for the versatile manipulation and dynamic patterning of a variety of colloidal particles on a solid substrate at nanoscale accuracy. OPN takes advantage of a thin surfactant layer to optothermally modulate the particle-substrate interaction, which enables the manipulation of colloidal particles on solid substrates with optical scattering force. Along with in situ optical spectroscopy, our non-invasive and contactless nanomanipulation technique will find various applications in nanofabrication, nanophotonics, nanoelectronics, and colloidal sciences.

SUBMITTER: Li J 

PROVIDER: S-EPMC6908671 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Optical nanomanipulation on solid substrates via optothermally-gated photon nudging.

Li Jingang J   Liu Yaoran Y   Lin Linhan L   Wang Mingsong M   Jiang Taizhi T   Guo Jianhe J   Ding Hongru H   Kollipara Pavana Siddhartha PS   Inoue Yuji Y   Fan Donglei D   Korgel Brian A BA   Zheng Yuebing Y  

Nature communications 20191212 1


Constructing colloidal particles into functional nanostructures, materials, and devices is a promising yet challenging direction. Many optical techniques have been developed to trap, manipulate, assemble, and print colloidal particles from aqueous solutions into desired configurations on solid substrates. However, these techniques operated in liquid environments generally suffer from pattern collapses, Brownian motion, and challenges that come with reconfigurable assembly. Here, we develop an al  ...[more]

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