Emergence of reconfigurable wires and spinners via dynamic self-assembly
Abstract
Dissipative colloidal materials use energy to generate and maintain structural complexity. The energy injection rate, and properties of the environment are important control parameters that influence the outcome of dynamic self-assembly. Here we demonstrate that dispersions of magnetic microparticles confined at the air-liquid interface, and energized by a uniaxial in-plane alternating magnetic field, self-assemble into a variety of structures that range from pulsating clusters and single-particle-thick wires to dynamic arrays of spinners (self-assembled short chains) rotating in either direction. The spinners emerge via spontaneous breaking of the uniaxial symmetry of the energizing magnetic field. Demonstration of the formation and disaggregation of particle assemblies suggests strategies to form new meso-scale structures with the potential to perform functions such as mixing and sensing.
- Authors:
-
- Jozef Stefan Institute, Ljubliana (Slovenia). Complex Matter Dept.
- Argonne National Lab. (ANL), Argonne, IL (United States); Northwestern Univ., Evanston, IL (United States). Dept. of Engineering Science and Applied Mathematics.
- Harvard Univ., Cambridge, MA (United States). Dept. of Chemistry and Chemical Biology.
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE Office of Science - Office of Basic Energy Sciences - Materials Sciences and Engineering Division
- OSTI Identifier:
- 1200895
- Alternate Identifier(s):
- OSTI ID: 1392516
- Grant/Contract Number:
- AC02-06CH11357; FG02-00ER45852
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Scientific Reports
- Additional Journal Information:
- Journal Volume: 5; Journal ID: ISSN 2045-2322
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY
Citation Formats
Kokot, Gasper, Piet, David, Whitesides, George M., Aranson, Igor S., and Snezhko, Alexey. Emergence of reconfigurable wires and spinners via dynamic self-assembly. United States: N. p., 2015.
Web. doi:10.1038/srep09528.
Kokot, Gasper, Piet, David, Whitesides, George M., Aranson, Igor S., & Snezhko, Alexey. Emergence of reconfigurable wires and spinners via dynamic self-assembly. United States. https://doi.org/10.1038/srep09528
Kokot, Gasper, Piet, David, Whitesides, George M., Aranson, Igor S., and Snezhko, Alexey. Thu .
"Emergence of reconfigurable wires and spinners via dynamic self-assembly". United States. https://doi.org/10.1038/srep09528. https://www.osti.gov/servlets/purl/1200895.
@article{osti_1200895,
title = {Emergence of reconfigurable wires and spinners via dynamic self-assembly},
author = {Kokot, Gasper and Piet, David and Whitesides, George M. and Aranson, Igor S. and Snezhko, Alexey},
abstractNote = {Dissipative colloidal materials use energy to generate and maintain structural complexity. The energy injection rate, and properties of the environment are important control parameters that influence the outcome of dynamic self-assembly. Here we demonstrate that dispersions of magnetic microparticles confined at the air-liquid interface, and energized by a uniaxial in-plane alternating magnetic field, self-assemble into a variety of structures that range from pulsating clusters and single-particle-thick wires to dynamic arrays of spinners (self-assembled short chains) rotating in either direction. The spinners emerge via spontaneous breaking of the uniaxial symmetry of the energizing magnetic field. Demonstration of the formation and disaggregation of particle assemblies suggests strategies to form new meso-scale structures with the potential to perform functions such as mixing and sensing.},
doi = {10.1038/srep09528},
journal = {Scientific Reports},
number = ,
volume = 5,
place = {United States},
year = {Thu Mar 26 00:00:00 EDT 2015},
month = {Thu Mar 26 00:00:00 EDT 2015}
}
Web of Science
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