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Verified CAS / Academic Author2 Decoded Studies

Prof. LI Jiahao

Jiangnan University

Research Publications & English Decoded Briefs

Showing 2 publications
SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3545-7

Magnetic Oxygen-Generating Robots via a Self-Healing Hydrogel-Based Modular Assembly Strategy

Magnetically driven hydrogel robots show promise in biomedical and underwater applications due to remote controllability, flexibility, biocompatibility, and chemical stability. However, limited functional integration restricts their adaptability. Here, a universal modular assembly strategy is introduced using a self-healing κ-carrageenan/polyacrylamide hydrogel embedded with magnetic particles, enabling free assembly of magnetic actuation modules. These modules construct soft robots with complex geometries and magnetization distributions, allowing diverse deformations under magnetic fields. The strategy further integrates photocatalysis by embedding Ru-Bi2CrO6 photocatalysts into functional modules, yielding an oxygen-generating robot. This robot exhibits flexible underwater movement via magnetically controlled oscillatory actuation, minimizing water agitation while supplying stable oxygen to specific aquatic environments. The photocatalytic oxygen evolution rate reaches 389.1 μmol g−1 h−1. The hydrogel skeleton suppresses particle aggregation and sedimentation, and facilitates magnetic recovery. This scalable and adaptable approach advances multifunctional soft robot design.

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SCIENCE CHINA Materials•2025•DOI: 10.1007/s40843-025-3535-8

Efficient Orbit-Torque Driven Spiking Neuromorphic Device Mimicking the Selective Attention Mechanism for Self-Adaptive Recognition

The brain's selective visual attention mechanism (SVAM) enables robust visual recognition in noisy environments through diverse neural action potential peaks acting as filters. Spiking neural networks (SNNs) mimic this paradigm but limited noise immunity and high write current density hinder brain-like efficiency. Hardware implementing SVAM necessitates spiking spintronic devices with noise-resistant and low operation current densities; such devices remain unreported. Here, we report an orbit-torque (OT) actuated ferromagnetic spiking synapse and neuron featuring a tunable peak action potential. These are more akin to biological neurons with varying sensitivities to external sensory stimuli, thereby augmenting the perception aptitude of the system in complex surroundings. Capitalizing on the high-efficiency OT, the ferromagnetic device demands a write current density of 5 × 10^6 A/cm^2, which is an order of magnitude lower than other spiking devices actuated by spin-orbit torque. Leveraging these neuromorphic devices, an all-spin SNN with low current density and tunable action potential peak has been fabricated, successfully mimicking the SVAM. In complex noise environment, the SNN achieves 92% on Cifar-10 and 95% on MNIST dataset, surpassing state-of-the-art spin-based SNNs by 5%. Our work provides a promising avenue for exploring the SVAM-inspired spiking neuromorphic devices, enhancing the bionic performance of the SNNs.

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