As wearable electronics migrate toward real-time health monitoring and seamless human–machine interfaces, conventional hydrogels freeze, dry out and fracture under daily conditions. Now, a multidisciplinary team led by Prof. Sang-Jae Kim (Jeju National University) has unveiled a CoN-CNT/PVA/GLE organogel sensor that marries sub-zero toughness with AI-grade pattern recognition. The device delivers 5.75 kPa-1 sensitivity across 0–20 kPa, heals in 0.24 s, and classifies handwritten English letters at 98 % accuracy—offering a robust, bio-compatible platform for next-generation soft robotics and personalized healthcare.
Why the CoN-CNT Organogel Matters
• Freeze-Tolerant & Anti-Dehydration: Binary ethylene-glycol/water solvent and Co–Nx coordination keep conductivity at 1.10 mS cm-1 down to −20 °C and 95 % RH for >75 days.
• Self-Healing & Adhesive: Dynamic borate-ester bridges and hydrogen bonding restore 88 % mechanical strength in 60 min and stick stably to skin, wood, glass and curved plastics.
• AI-Ready Sensing: Piezo-capacitive response captures stroke pressure, lift-off and curvature, enabling 1D-CNN + XGBoost models to discriminate all 26 letters and digits with <2 % error.
Innovative Design and Features
