Groups of tiny particles suspended in liquid oscillate together, keeping time as though they sense each other's motion. The surrounding fluid enables the particles to 'feel' one another at a distance, influencing their motions without direct contact.
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A $2 million NSF-funded project is creating microscopic robotic swarms that can move and think collectively like schools of fish. The Adaptive and Responsive Magnetic Swarms (ARMS) project aims to design materials that adapt to their surroundings and can be used for medicine, energy and environmental applications.
Researchers developed a novel coating material that captures the brilliance of structural colors using melanin particles, producing non-iridescent color even when viewed from different angles. The coatings displayed a contact angle of over 160 degrees, monochromatic hues, and a self-cleaning surface.
Rice researchers use a rapidly alternating magnetic field to create direction-dependent structures from superparamagnetic beads, offering precise control over material properties. The study reveals the importance of magnetic relaxation time in controlling particle interactions.
Physicists at Leipzig University have developed a neural network that uses active colloidal particles for artificial intelligence. The system reduces noise and increases efficiency in calculations by utilizing past states of the reservoir.
Scientists develop novel synthetic strategy to create highly ordered colloidal crystals using DNA as the bonding element. The approach enables the synthesis of 10 new crystals with potential for designing metamaterials with unprecedented properties.
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A new metric called a correlation ratio has been developed to correlate microscopic-level processes with macroscopic-level behavior in soft materials. This breakthrough allows for the design of new soft materials by tweaking microscale parameters to achieve desired macroscale properties.
By incorporating hydrodynamics into their models, the researchers improved predictions of final structures compared to conventional computational models. This work may lead to the development of smart materials with controllable properties in response to external conditions.
The study found that colloidal membranes transition from flat disc-like shapes to saddle-like shapes as the fraction of short rods increases. The saddles then merge into more complex structures like catenoids and four-noids, exhibiting properties similar to biological membranes.
Researchers at KAUST found that under certain conditions, bubbles or droplets suspended in liquid can bounce off each other due to interface mobility, leading to slower coalescence and unexpected behavior.
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Researchers Aparna Baskaran and Cristina Marchetti found that a uniform nematic state can be disturbed by density fluctuations associated with an upward current of active particles. This phenomenon is self-regulating and universal.
Researchers at Stanford University propose using tiny jet turbines to create a system that prevents aircraft wings from stalling. This approach uses massively parallel mechanical systems, enabling the creation of large numbers of small devices for improved power density and reliability.