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Updated: Jun 26, 2025

Theoretical Calculation and Experimental Verification for Dislocation Reduction in Germanium Epitaxial Layers with Semicylindrical Voids on Silicon
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Design rules for controlling active topological defects.

Suraj Shankar1,2, Luca V D Scharrer3,4, Mark J Bowick3,5

  • 1Department of Physics, Harvard University, Cambridge, MA 02138.

Proceedings of the National Academy of Sciences of the United States of America
|May 15, 2024
PubMed
Summary
This summary is machine-generated.

Scientists developed a new method using active topological tweezers to control defects in active fluids. This allows for the creation, movement, and braiding of defects, enabling programmable active materials.

Keywords:
active mattercontrolfluid dynamicsliquid crystalstopological defects

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Area of Science:

  • Physics of active matter
  • Soft condensed matter physics
  • Non-equilibrium statistical mechanics

Background:

  • Topological defects are crucial in various materials like magnets and liquid crystals.
  • In active fluids, defects act as self-propelled particles, driving chaotic flows.
  • Controlling defect spatiotemporal behavior is key to engineering active materials, but design principles are lacking.

Purpose of the Study:

  • To propose a symmetry-based additive strategy for precise control of topological defects in active fluids.
  • To establish design principles for the spatiotemporal manipulation of active defects.
  • To demonstrate the creation, movement, and braiding of defects using active topological tweezers.

Main Methods:

  • Theoretical modeling based on symmetry principles.
  • Computational simulations of active fluid dynamics.
  • Utilizing spatial activity gradients as 'electric fields' for defect manipulation.

Main Results:

  • Demonstrated an additive strategy using active topological tweezers to control defects.
  • Showcased how spatial activity gradients induce inverted topological polarization of defects.
  • Successfully patterned and transported interacting active defects in a dynamic setting.

Conclusions:

  • An additive framework for sculpting flows and manipulating active defects in space and time has been established.
  • This approach enables the design of programmable active and living materials.
  • Potential applications include transport, memory, and logic devices.