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Jellyfish-Inspired Hydrogels Enabling Synergistic Antifouling and Low-Drift for Transformer-Assisted Multimodal
He Liu1,2, Guanxiong Liang2, Manjun Dou2
1State Key Laboratory of Digital Steel, School of Materials Science and Engineering, Northeastern University, Shenyang, China.
Advanced Materials (Deerfield Beach, Fla.)
|July 21, 2026
Summary
This study introduces a jellyfish-inspired hydrogel for marine bioelectronics, offering superior antifouling and stable conductivity in seawater. AI-assisted decoding ensures accurate interpretation of complex physiological signals for advanced underwater applications.
Area of Science:
- Materials Science
- Bioelectronics
- Marine Technology
Background:
- Hydrogels are promising for soft electronics but face challenges in seawater, including biofouling, salinity-induced swelling, and signal noise.
- Existing hydrogel bioelectronics struggle with long-term stability and reliable data acquisition in harsh marine environments.
Purpose of the Study:
- To develop a novel hydrogel material and AI-driven decoding framework for robust, long-term marine bioelectronics.
- To address limitations of biofouling, swelling-induced drift, and noise in hydrogel-based underwater electronic systems.
Main Methods:
- Engineered a jellyfish-inspired hydrogel using a hydration-locked percolation strategy with a hydration-polyphenol network.
- Incorporated synergistic antifouling properties and cross-substrate wet anchoring for drift resistance.
- Developed a multimodal decoding framework integrating Transformer encoder and multilayer perceptron for signal interpretation.
Main Results:
- Achieved synergistic antifouling, repelling and inactivating fouling organisms.
- Maintained stable high conductivity (22 S m⁻¹) and high signal-to-noise ratio in seawater due to suppressed swelling.
- Demonstrated high accuracy (98.5%) in interpreting complex physiological signals using the AI-powered decoding framework.
Conclusions:
- The developed hydrogel and AI decoding system enable long-term, high-fidelity marine bioelectronics.
- This approach overcomes key challenges for reliable underwater bioelectronic applications.
- Paves the way for advanced AI-assisted multimodal marine bioelectronic systems.
