University of Michigan physicists have devised a way to manipulate active fluids, a type of fluid composed of individual units that can propel themselves independently, by taking advantage of topological defects in the fluids.

The researchers showed that they could use tweezers similar to optical tweezers—highly focused lasers that can be used to nudge around atoms and other microscopic and submicroscopic materials—to manipulate the fluids’ topological defects and control how these active fluids flow. The study, led by U-M physicist Suraj Shankar, is published in the Proceedings of the National Academy of Sciences.

You can think of an active fluid like a flock of birds, says Shankar. In a murmuration, an enormous cloud of starlings, birds will twist and turn in unison, making shapes of the cloud. But while the murmuration looks like it’s moving as one organism, the movement is made of individual birds powered by their individual sets of wings.

Similarly, active fluids are composed of individual components like bacteria in water or atoms in a crystal, but each unit moves on its own if shone with light or given “food” via a chemical reaction, according to Shankar. Researchers have previously engineered bacteria so that when they shine light on the bacteria, some bacteria in the liquid swim faster and others swim slower.

“And you can change that pattern as you want. By changing the speed at which the bacteria swim locally, you can paint faces of famous people, or change it and make a landscape,” said Shankar, an assistant professor of physics at U-M.

“Given that these experimental platforms exist and we’re now able to manipulate these materials by controlling the speed by which things are moving around, we asked: Can we develop a framework in which we can control the local speeds of things that comprise active fluids so that we can control them in a systematic way?”

The research team also includes co-authors Cristina Marchetti and Mark Bowick of the University of California Santa Barbara and Luca Scharrer, who conducted much of the research as an undergraduate at UCSB.

The team focused on a popular active fluid called a nematic fluid, composed of liquid crystals—the same kind of liquid crystals that comprise smartphone, tablet and computer displays. These liquid crystals are fluids composed of long molecules that can line up and become ordered like matches in a matchbox or timber logs stacking up and flowing down a river, Shankar says. But when driven by chemical reactions these nematic fluids become active and have the ability to pump fluid, which allows them to move around without externally applied forces or pressure gradients.

Shankar and colleagues used this characteristic feature and applied principles of symmetry, geometry and topology from mathematics to develop design principles that will allow the researchers to control the trajectory of individual crystals within the nematic fluids.

Their methods rely on differences in how these rod-like objects line up within the liquid. They may be misaligned at some points, which causes the liquid crystals to bend around the point of misalignment, like a whirlpool in a river. This creates different patterns in the fluid, similar to the ridges of your fingerprints, Shankar says. In liquid crystals, there are points where the line of crystals will bend over and look like a comet, or form a symbol that looks like the Mercedes logo.

If you add energy to the system and make the fluid active, these patterns, called topological defects, come alive.

“These patterns start moving, and they drive and stir the fluid, almost as if they were actual particles,” Shankar said. “Controlling these individual patterns that are associated with the defects seems like a simpler job than to control each microscopic component in a fluid.”

The project began when Scharrer developed simulations to model active fluid flow and track the locations of topological defects, attempting to test a hypothesis posed by Shankar and Marchetti. Showing his simulation results to the other researchers, Scharrer, and the team found how these complex responses could be mathematically explained and converted into design principles for defect control.

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More Information:

Study: Design rules for controlling active topological defects