2D Ti3C2Tx MXene-based light-driven actuator with integrated structure for self-powered multi-modal intelligent perception assisted by neural network

IF 16.8 1区 材料科学 Q1 CHEMISTRY, PHYSICAL Nano Energy Pub Date : 2025-02-01 DOI:10.1016/j.nanoen.2024.110552
Jiahao Zhou , Huamin Chen , Zhihao Wu , Peidi Zhou , Minghua You , Chan Zheng , Qiaohang Guo , Zhou Li , Mingcen Weng
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Abstract

Conventional Ti3C2Tx MXene-based actuators, due to their lack of human-like self-perception capability, have hindered soft robots from progressing toward intelligent robot-environment interactions. Strategies to reconcile environmental stimulus-response actuation and self-powered multi-modal intelligent perception remain challenging. Here, we have designed a flexible actuator with a P-N couple structure. Wherein, the Ti3C2Tx MXene-chitin nanofibers (MCHF) composite film prepared by vacuum-assisted self-assembly was utilized as the N-type photothermal layer, and the PEDOT:PSS/PET film was utilized as the P-type thermal-expansion layer. Based on the thermoelectric and electronegative properties of the MCHF composite film, we propose two strategies to combine the light-driven actuation mechanism with the photo-thermoelectric effect (PTE) and triboelectric effect to endow the light-driven actuator perception capabilities. Based on the PTE effect, the MCHF-based bilayer film can be directly utilized as a PTE generator (Seebeck coefficient of 23.3 μV K−1) to simultaneously achieve light-driven actuation and self-powered relative-temperature perception. When utilized as a triboelectric electrode (maximum output voltage of 144.7 V), the MCHF layer can trigger the triboelectric effect with the actuation force of the light-driven actuator, thus realizing self-powered material perception. Finally, we demonstrated an intelligent gripper capable of synergizing light-driven actuation and self-powered multi-modal perception by compactly integrating these two strategies, which can recognize susceptible signals accurately (accuracy of 98 %) with the assistance of a neural network. This work is promising to facilitate the intelligent interaction of Ti3C2Tx MXene-based soft robots with variable environments.

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基于Ti3C2Tx mxen2d集成结构的自供电多模态智能感知神经网络驱动驱动器
传统的基于 Ti3C2Tx MXene 的执行器由于缺乏类似人类的自我感知能力,阻碍了软体机器人向智能机器人与环境互动的方向发展。协调环境刺激-响应致动器和自供电多模态智能感知的策略仍然具有挑战性。在这里,我们设计了一种具有 P-N 对偶结构的柔性致动器。其中,采用真空辅助自组装法制备的 Ti3C2Tx MXene-甲壳素纳米纤维(MCHF)复合薄膜作为 N 型光热层,PEDOT:PSS/PET 薄膜作为 P 型热膨胀层。基于 MCHF 复合薄膜的热电和电负特性,我们提出了将光驱动致动器机制与光热电效应(PTE)和三电效应相结合的两种策略,以赋予光驱动致动器感知能力。基于 PTE 效应,基于 MCHF 的双层薄膜可直接用作 PTE 发生器(塞贝克系数为 23.3 μV K-1),同时实现光驱动致动器和自供电相对温度感知。当用作三电电极(最大输出电压为 144.7 V)时,MCHF 层可利用光驱动致动器的致动力触发三电效应,从而实现自供电材料感知。最后,我们展示了一种能够协同光驱动致动器和自供电多模态感知的智能机械手,它紧凑地集成了这两种策略,并能在神经网络的辅助下准确识别易感信号(准确率达 98%)。这项工作有望促进基于 Ti3C2Tx MXene 的软机器人与多变环境的智能互动。
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来源期刊
Nano Energy
Nano Energy CHEMISTRY, PHYSICAL-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
30.30
自引率
7.40%
发文量
1207
审稿时长
23 days
期刊介绍: Nano Energy is a multidisciplinary, rapid-publication forum of original peer-reviewed contributions on the science and engineering of nanomaterials and nanodevices used in all forms of energy harvesting, conversion, storage, utilization and policy. Through its mixture of articles, reviews, communications, research news, and information on key developments, Nano Energy provides a comprehensive coverage of this exciting and dynamic field which joins nanoscience and nanotechnology with energy science. The journal is relevant to all those who are interested in nanomaterials solutions to the energy problem. Nano Energy publishes original experimental and theoretical research on all aspects of energy-related research which utilizes nanomaterials and nanotechnology. Manuscripts of four types are considered: review articles which inform readers of the latest research and advances in energy science; rapid communications which feature exciting research breakthroughs in the field; full-length articles which report comprehensive research developments; and news and opinions which comment on topical issues or express views on the developments in related fields.
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