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Published on: September 20, 2017
Spatial Activity Patterning and Topological Defect Transport in Acoustically Energized Active Liquid Crystals
Antonio Tavera-Vázquez1, Paul F Nealey1,2, Alexey Snezhko2
1Pritzker School of Molecular Engineering, University of Chicago, Chicago, USA.
Small (Weinheim an Der Bergstrasse, Germany)
|July 10, 2026
Summary
Researchers created reconfigurable active nematic materials by controlling spatial activity patterns. This enables sustained antiparallel transport of topological defects, paving the way for active microfluidic devices.
Area of Science:
- Soft Matter Physics
- Active Matter Systems
- Liquid Crystal Science
Background:
- Active nematics are dynamic fluids with potential for reconfigurable materials.
- Experimental control of spatiotemporal activity patterns has been a major challenge.
- Topological defects in active nematics offer possibilities for information processing.
Purpose of the Study:
- To develop a versatile experimental approach for spatial activity patterning in active nematics.
- To demonstrate control over topological defect behavior using patterned activity.
- To investigate the potential for defect transport in active microfluidic architectures.
Main Methods:
- Utilized a quasi-2D acoustically powered active liquid crystal system.
- Controlled local activity by modulating the confinement height of the liquid crystal.
- Implemented linear gradients and step-like variations in channel height to create activity patterns.
- Employed an agent-based model to analyze defect dynamics.
Main Results:
- Demonstrated that confinement height directly correlates with local activity levels.
- Showcased the ability to guide topological defects using patterned activity.
- Achieved sustained antiparallel transport of +1/2 and -1/2 topological defects.
- Confirmed geometry-induced activity modulation as the driver of defect transport.
Conclusions:
- Established a scalable strategy for programming active nematic material dynamics.
- Advanced the development of active microfluidic architectures for information processing.
- Highlighted the potential of topological defect transport for future applications.
