Related Experiment Video
Updated: Aug 6, 2026

Bioinspired Soft Robot with Incorporated Microelectrodes
Published on: February 28, 2020
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.
Abstract:
Hydrogels have emerged as a versatile materials platform for soft and biointegrated electronics. However, reliable hydrogel bioelectronics under seawater conditions is limited by biofouling at interfaces, high-salinity swelling-induced drift, and noise-robust temporal decoding. Here, we present a hydration-locked percolation strategy to engineer a jellyfish-inspired hydrogel that combines synergistic antifouling with drift-resistant conduction for AI-assisted multimodal marine bioelectronics. The constructed hydration-polyphenol network suppresses nonspecific adsorption and early biofilm evolution, achieving a synergistic antifouling system that repels and inactivates fouling organisms. Meanwhile, cross-substrate wet anchoring and localized swelling suppression stabilize electron-percolation pathways, thereby enabling long-term stable high conductivity (22 S m- 1) and physiological signal acquisition with high signal-to-noise ratio in seawater. Notably, a tailored multimodal decoding framework integrating Transformer encoder with multilayer perceptron further enables accurate interpretation of complex physiological signals (98.5% accuracy) by capturing long-range temporal dependencies and cross-modal correlations. This integration of high-performance bioinspired hydrogels with Transformer-assisted decoding paves the way for long-term, high-fidelity marine bioelectronics.

