Mechano-adaptive meta-gels through synergistic chemical and physical information-processing

Area of Science:

• Materials Science
• Chemical Engineering
• Robotics
• Biomimicry

Background:

• Nature exhibits sophisticated mechano-biological systems, like the mimosa plant, that sense local mechanical stimuli and adapt globally.
• Integrating embodied intelligence for mechano-to-chemo-to-function information processing in artificial systems remains a significant challenge.

Purpose of the Study:

• To develop artificial systems capable of sensing mechanical stimuli, processing this information via chemical circuits, and inducing functional responses.
• To merge metamaterials and chemical circuits for creating autonomous, life-like adaptive materials.

Main Methods:

• Introduction of adaptive metamaterial hydrogels (meta-gels) combining chemical circuits and metamaterial principles.
• Meta-gels designed to sense local touch and global strain with precise thresholds.
• Utilized reaction-diffusion signaling for long-distance information transmission within the hydrogel.

Main Results:

• Demonstrated autonomous sensing, information processing, and actuation within a single embedded system.
• Achieved downstream mechanical strengthening via nanofibril network growth and soft robotic actuation through competitive swelling.
• Meta-gels function autonomously without external feeding reservoirs, showcasing integrated sensor-processor-actuator capabilities.

Conclusions:

• The developed meta-gels represent a novel approach to creating life-like materials with embodied intelligence.
• This work synergistically combines chemical information processing with physical information processing in metamaterial unit cells.
• The concept paves the way for advanced adaptive materials systems inspired by biological mechanobiology.