Jellyfish‐Inspired Hydrogels Enabling Synergistic Antifouling and Low‐Drift for Transformer‐Assisted Multimodal Marine Bioelectronics

H He Liu (Department of Gastrointestinal Surgery, The First Affiliated Hospital) G Guanxiong Liang (College of Medicine and Biological Information Engineering Northeastern University Shenyang China) M Manjun Dou (College of Medicine and Biological Information Engineering Northeastern University Shenyang China) X Xinan Yao (College of Medicine and Biological Information Engineering Northeastern University Shenyang China) Y Yumo She (Department of Gastroenterology Endoscopic Center Shengjing Hospital of China Medical University Shenyang China) J Jiaju Qiang (State Key Laboratory of Digital Steel School of Materials Science and Engineering Northeastern University Shenyang China) X Xinhang Li F Fuhui Wang (State Key Laboratory of Digital Steel, School of Materials Science and Engineering) X Xiangyu Li Y Ye Tian D Dake Xu (State Key Laboratory of Digital Steel, School of Materials Science and Engineering)

Abstract

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.

Article Details

Volume / Issue Vol. 1, Issue 1
Published July 21, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (11)

H

He Liu

Department of Gastrointestinal Surgery, The First Affiliated Hospital

G

Guanxiong Liang

College of Medicine and Biological Information Engineering Northeastern University Shenyang China

M

Manjun Dou

College of Medicine and Biological Information Engineering Northeastern University Shenyang China

X

Xinan Yao

College of Medicine and Biological Information Engineering Northeastern University Shenyang China

Y

Yumo She

Department of Gastroenterology Endoscopic Center Shengjing Hospital of China Medical University Shenyang China

J

Jiaju Qiang

State Key Laboratory of Digital Steel School of Materials Science and Engineering Northeastern University Shenyang China

X

Xinhang Li

F

Fuhui Wang

State Key Laboratory of Digital Steel, School of Materials Science and Engineering

X

Xiangyu Li

Y

Ye Tian

D

Dake Xu

State Key Laboratory of Digital Steel, School of Materials Science and Engineering