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Yale Scientists Develop Microfluidic Chip That Enables Liquids to Memorize Past States

Microfluidic chip stores information Photo: НВ — Техно

A Semiconductor-Free Breakthrough

Researchers at Yale University have engineered a novel approach allowing liquids to retain information about their previous conditions using tiny flexible fibers. This innovation enables fluids to physically record traces of prior flows, laying the groundwork for a “liquid brain” that could power soft robots. Such robots would operate without traditional electronics, making them resilient in environments with intense electromagnetic interference.

The Next Generation of Microfluidic Chips

Unlike conventional hydraulic systems that respond solely to current pressure or temperature, this new microfluidic chip contains a complex network of channels roughly half the thickness of a human hair. As fluid moves through these channels, the embedded flexible fibers toggle between two stable states, opening or closing flow paths. This mechanism effectively encodes past states in a binary manner—using zeros and ones—without relying on silicon transistors.

“Traditional microfluidic devices depend on active external components, whereas our design passively stores data through the microfibers themselves,” explains Abhinit Rajput.

This technology can be directly integrated into robotic bodies, replacing delicate electronic parts that are vulnerable to strong electromagnetic fields. Instead of electric signals, information would be transmitted via pressure fluctuations and fluid velocity changes.

The team is also exploring the chip’s potential for autonomous learning, as its channel behavior mimics simple living organisms such as slime molds, fungi, and plant roots.

“A fully liquid-based controller can reliably substitute sensitive electronics within robots operating amidst severe electromagnetic radiation,” emphasizes Amir Pahlavan.

This advancement opens exciting new possibilities for flexible robotics, especially in challenging environments where electronic components often fail.

By shifting away from electronic memory to fluid-based information storage and processing, this breakthrough could revolutionize the design of robotic systems built for extreme conditions. It reduces vulnerability to electromagnetic interference and enhances adaptability to changing surroundings. The technology holds promise for diverse fields including healthcare, industrial automation, and space exploration, where robust and flexible control systems are critical.

This innovative approach to fluid dynamics not only paves the way for advanced soft robotics but also complements recent developments in robotic technology. For instance, the latest American robot demonstrates remarkable agility and adaptability, showcasing how robotics can evolve alongside groundbreaking discoveries in liquid-based systems.