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An enhanced flexible triboelectric tactile sensor for material classification and roughness recognition

science China(Technological sciences) 2025年第4期68卷 94-104页

作者： Jingchao YUAN Jian HE Junbin YU Shuai SHI Yanxiang CHANG Xiujian CHOU Science and Technology on Electronic Test and Measurement Laboratory North University of ChinaTaiyuan030051China Shanxi Key Laboratory of Ferroelectric Physical Micro-nano Devices and Systems North University of ChinaTaiyuan030051China

Tactile sensors are one of the core components for intelligent robots to realize human-like tactile sensing *** the application scenarios of material classification and roughness recognition,an enhanced flexible triboelectric tactile sensor(FTTS)is proposed in this *** FTTS is prepared based on a single-electrode triboelectric nanogenerator(SETENG),which generates the corresponding electrical signals by coming in contact with *** enhance the properties of the SE-TENG,the synergistic enhancement effect on the electrical output of the SE-TENG was explored by controlling the addition ratio of MXene and Carboxylated cellulose nanofibers(CNF-C).The charge-trapping mechanism of the chargetrapping layer was analyzed,and the effects of the type and thickness of the charge-trapping layer on the performance of the FTTS were systematically *** and simple fabricated braided microstructures were prepared using the template method,which showed the optimum capability in terms of self-cleaning and electrical output *** these improvements,the FTTS showed a voltage sensitivity of 2.88 V/10^(4)Pa in the pressure response range of 10-400 kPa,a linearity of 0.993,and a linear trend in the fitting *** the same time,the FTTS has a stable response frequency,fast response time,and extreme cycling stability(over 10000 cycles).In addition,in terms of roughness recognition,the FTTS can accurately recognize samples with different surface *** terms of material classification,the accuracy of classifying 11materials with the visual geometry group(VGG)network reaches 96.08%.Based on these findings,FTTS-based tactile sensors offer diverse options in the future direction of electronic skin and tactile sensing.

关键词： single-electrode triboelectric nanogenerator tactile sensor self-cleaning VGG network material classification roughness recognition

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Enhanced energy-storage performance in Mn-doped (Pb0.97La0.02)ZrO3 films within a wide temperature range

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Ceramics International 2025年第12期51卷 16214-16223页

作者： Qiao, Xiaojun Wu, Yuxuan Geng, Wenping Chou, Xiujian Science and Technology on Electronic Test and Measurement Laboratory North University of China Taiyuan030051 China Shanxi Key Laboratory of Ferroelectric Physical Micro-nano Devices and Systems North University of China Taiyuan030051 China State Key Laboratory of Widegap Semiconductor Optoelectronic Materials and Technologies North University of China Shanxi Taiyuan030051 China Guangdong Institute of Semiconductor Micro-Nano Manufacturing Technology Guangdong Foshan China

Energy storage units combined with recoverable energy density under wide temperature range are promising candidate regarding to the modern pulse power system. Herein, Mn-doped PbLaZrO3 antiferroelectric films were prepared using the sol-gel method and the doping effect on the energy storage performance was explored in detail. The improvement in energy storage was owing to the change in the phase transition behavior from antiferroelectric‐to‐ferroelectric by Mn doping. A enhanced recoverable energy-storage density was obtained in 1 % Mn-doped films, which is relatively stable within wide temperature range. All the results indicate that Mn-doping is a effective way to optimize the electrical property of antiferroelectric films, which expanding the current strategy of antiferroelectric researches in the high-power energy storage application. © 2025

关键词： Sol-gel process

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Highly Sensitive NEMS Pressure Sensor From Bilayer Graphene

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IEEE Sensors Journal 2025年第10期25卷 16746-16753页

作者： Zhang, Zhe Liu, Quan Gao, Qiang Si, Fangcheng Cao, Huiliang Ding, Jie Zhang, Wendong Fan, Xuge Advanced Research Institute for Multidisciplinary Science School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology Yangtze Delta Region Academy Jiaxing314003 China Beijing Institute of Technology School of Integrated Circuits and Electronics Beijing100081 China North University of China State Key Laboratory of Dynamic Measurement Technology and the National Key Laboratory for Electronic Measurement Technology School of Instrument and Electronics Taiyuan030051 China Integration School of Physics Beijing100081 China

Graphene is an ideal candidate material for the fabrication of high-performance pressure sensors due to excellent mechanical strength and electrical conductivity. However, suspended bilayer graphene has rarely been studied for nano-electromechanical system (NEMS) pressure sensors. In this work, a suspended bilayer graphene-based NEMS pressure sensor with multiple cavities was realized. To improve the performance of the pressure sensor, a bilayer graphene membrane was used to ensure the integrity and hermeticity of the suspended membrane. Meanwhile, the arrays of cavities for suspending graphene membrane were designed to achieve as many intact suspended graphene membranes as possible. The sensitivity of the device was 3.4 × 10−5 kPa−1 in the pressure range of 50–100 kPa and was higher than the previous graphene-based pressure sensors. Furthermore, bilayer graphene-based NEMS pressure sensors were modeled and simulated. And the gauge factor of bilayer graphene membrane was estimated to be 4.3. This work would contribute to the development of next-generation ultra-small and sensitive 2-D NEMS sensors. © 2001-2012 IEEE.

关键词： Pressure sensors

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A High-temperature Strain Dual Reference Sensor with a Self-compensating Structure

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IEEE Sensors Journal 2025年第11期25卷 19386-19393页

作者： Huang, Junyi Wang, Yu Dong, Helei Tan, Qiulin North University of China Science and Technology on Electronic Test and Measurement Laboratory Taiyuan030051 China North University of China State Key Laboratory of Dynamic Measurement Technology Taiyuan030051 China

To address the challenges of high-temperature strain detection in aero-engines and similar equipment, this study employs screen printing technology to fabricate a self-compensating, temperature-integrated strain sensor capable of operating in extreme thermal environments. The sensor utilizes indium tin oxide (ITO) and platinum as sensitive materials and designs a strain gauge structure with a compensation function. This design enhances the flexibility in selecting compensation materials without compromising strain sensing performance. The sensor's performance was evaluated using a high-temperature muffle furnace and a strain testing system. Results demonstrate its excellent temperature and strain measurement capabilities. At 1250°C, the sensor exhibits an average temperature coefficient of resistance of -388.74 ppm/°C and a resistance drift rate of only 2.64 × 10-5/h over an 8-hour period, indicating its robust stability at high temperatures. Moreover, the sensor shows high sensitivity, accuracy, and excellent linearity with an average gauge factor of -17.8 in a strain characteristic test at 800°C. In the high-temperature measurement experiments, the thermocouple test results were analyzed using a high order polynomial fit, resulting in an average Seebeck coefficient of 47.9 μv/°C for the sensor. The sensor's fabrication process is straightforward and efficient, coupled with its self-compensation characteristics, making it a promising candidate for high-temperature strain sensing applications. © 2001-2012 IEEE.

关键词： Thermocouples

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High sensitivity MEMS vibration sensors based on LiNbO3 ferroelectric single-crystal films

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Ceramics International 2025年

作者： Zhang, Huiyi Li, Xiaohuang Qiao, Xiaojun Wei, Huifen Bi, Kaixi Hou, Xiaojuan Mu, Jiliang He, Jian Chou, Xiujian Geng, Wenping Science and Technology on Electronic Test and Measurement Laboratory North University of China Taiyuan030051 China Shanxi Provincial Key Laboratory of Advanced Manufacturing Technology North University of China Taiyuan030051 China

Piezoelectric vibration accelerometers with higher sensitivity and wider working range are extremely desirable regarding vibration monitoring. Limited by the inherent frequency of sensors and environmental protection, conventional piezoelectric sensors are unable to detect vibration signals in wide frequency and high acceleration environments. The sensor proposed in this paper is capable of achieving passive test work by collecting vibration signals from the external environment and utilising the force-electric conversion capability of the piezoelectric effect to achieve the sensor's detection of the environment. Herein, LiNbO3-based single-crystal film piezoelectric vibration sensors based on cantilever beams structure are proposed with enhanced operating bandwidth and high sensitivity. The fork-finger electrodes collection method effectively improves the output charges efficiency. Vibration experiments are conducted at high acceleration environment over wide frequency from 20 to 2400 Hz where the charge sensitivity of sensors can reach 10.336 pC/g @ f = 2400 Hz. Subsequently, the charge sensitivity was calculated by cluster analysis algorithm for random vibration environments and compared with the charge performance of sinusoidal signals showing little deviation. The repeatability error of sensors is maintained within 3.4 % for multiple measurements. The results show that cantilever beams model based on fork-finger electrodes provides a new structural design and charges collection method for highly sensitive and eco-friendly piezoelectric vibration devices operating in complex vibration environments. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Cantilever beams

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Aberration compensation design method of freeform reflection systems based on generalized aberration theory with series expansion

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Optics Express 2025年第10期33卷 20664-20681页

作者： Zhuang Qian Huiru Ji Rundong Fan Hao Tan Yan Mo Donglin Ma School of Optical and Electronic Information and Wuhan National Laboratory of Optoelectronics Huazhong University of Science and Technology Wuhan 430074 China National Gravitation Laboratory MOE Key Laboratory of Fundamental Physical Quantities Measurement and School of Physics Huazhong University of Science and Technology Wuhan 430074 China Shenzhen Huazhong University of Science and Technology Shenzhen 518057 China

With the growing demand for high-performance, miniaturized, and lightweight optical systems, off-axis reflective configurations incorporating freeform surfaces have emerged as crucial solutions for reconciling imaging quality with system compactness. However, the intricate mathematical representations and non-rotational symmetry inherent in freeform surfaces present substantial challenges to conventional design methodologies, necessitating innovative direct design approaches. To address these limitations, this paper proposes an advanced aberration compensation method (ACM) rooted in generalized aberration theory (GAT) with series expansion, enabling balanced full-field performance. Distinct from the traditional coefficient minimization method (CMM) that independently minimizes aberration coefficients at individual orders, ACM strategically exploits cross-order aberration compensation through synergistic interactions between lower- and higher-order aberrations. This leads to enhanced full-field imaging performance and better adaptability to asymmetric field layouts. The method is demonstrated on two representative three-mirror anastigmat (TMA) systems: a field-offset zig-zag configuration and a compact circular layout with a small F-number. In both cases, ACM achieves more balanced aberration correction, improved MTF performance, and acceptable computation time increases (under 10%) compared to CMM. These results validate ACM as a promising tool for the efficient and accurate design of freeform optical systems in future advanced applications.

关键词： Freeform surfaces Imaging systems Nodal aberration theory Optical design software Optical systems Systems design

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Design of freeform off-axis telescope with low tilt-to-length noise based on construction method

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Optics and Laser technology 2025年 187卷

作者： Tan, Hao Fan, Zichao Ji, Huiru Mo, Yan Ma, Donglin National Gravitation Laboratory MOE Key Laboratory of Fundamental Physical Quantities Measurement School of Physics Huazhong University of Science and Technology Wuhan430074 China School of Optical and Electronic Information and Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan430074 China College of Optoelectronic Engineering Chongqing University Chongqing400044 China

In this paper, we propose a design methodology for low tilt-to-length (TTL) noise freeform off-axis telescopes, aimed at enhancing performance in space-based gravitational wave (GW) detection. Our design integrates advanced freeform surfaces to reduce TTL noise and improve optical quality, which is crucial for the requirements of GW detection mission. The novelty of our approach lies in the construction method, which directly computes the optical parameters, enabling simultaneous consideration of wavefront error (WFE) and TTL noise. This contrasts traditional optimization methods, which often handle these aspects sequentially, leading to inefficiencies and potential increases in design time. By incorporating TTL noise considerations at the design stage, our method significantly enhances the predictability and efficiency of the telescope design process. Based on this method, we present an off-axis telescope design which demonstrates that the root-mean-square (RMS) wavefront error remains well within the requirements of GW detection missions across the scientific field of view (FOV), and the TTL noise is maintained below the threshold across a wide operational range. The RMS WFE of the designed system is lower than 0.0025λ within the scientific FOV of ±7μrad. The maximum TTL noise within FOV of ±300μrad is less than 0.025 nm/rad. © 2025 Elsevier Ltd

关键词： Wavefronts

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Automated seizure detection in epilepsy using a novel dynamic temporal-spatial graph attention network

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Scientific Reports 2025年第1期15卷 1-10页

作者： Yan, Kunxian Luo, Xiangyu Ye, Lei Geng, Wenping He, Jian Mu, Jiliang Hou, Xiaojuan Zan, Xiang Ma, Jiuhong Li, Fei Zhang, Le Chou, Xiujian Science and Technology on Electronic Test and Measurement Laboratory North University of China Taiyuan 030051 China Shanxi Key Laboratory of Ferroelectric Physical Micro-nano Devices and Systems North University of China Taiyuan 030051 China Shanxi Med Univ Shanxi Prov Peoples Hosp Clin Med Coll 5 Taiyuan 030012 China Science and Technology on Electronic Test and Measurement Laboratory The 41st Institute of China Electronic Technology Group Corporation Qingdao 266555 China

Epilepsy is a neurological disorder characterized by recurrent seizures caused by excessive electrical discharges in brain cells, posing significant diagnostic and therapeutic challenges. Dynamic brain network analysis via electroencephalography (EEG) has emerged as a powerful tool for capturing transient functional connectivity changes, offering advantages over static networks. In this study, we propose a Dynamic Temporal-Spatial Graph Attention Network (DTS-GAN) to address the limitations of fixed-topology graph models in analysing time-varying brain networks. By integrating graph signal processing with a hybrid deep learning framework, DTS-GAN collaboratively extracts spatiotemporal features through two key modules: an LSTM-based temporal encoder to model long-term dependencies in EEG sequences, and a dynamic graph attention network with probabilistic Gaussian connectivity, enabling adaptive learning of transient functional interactions across electrode nodes. Experiments on the TUSZ dataset demonstrate that DTS-GAN achieves 89–91% accuracy and a weighted F1-score of 87–91% in classifying seven seizure types, significantly outperforming baseline models. The multi-head attention mechanism and dynamic graph generation strategy effectively resolve the temporal variability of functional connectivity. These results highlight the potential of DTS-GAN in providing precise and automated seizure detection, serving as a robust tool for clinical EEG analysis. © The Author(s) 2025.

关键词： Deep learning Electroencephalogram (EEG) Epilepsy Temporal-spatial

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Freeform reflection imaging system design based on subaperture integrating method

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Results in Physics 2025年 71卷

作者： Tan, Hao Qian, Zhuang Fan, Rundong Wei, Shili Mo, Yan Ji, Huiru Ma, Donglin National Gravitation Laboratory MOE Key Laboratory of Fundamental Physical Quantities Measurement School of Physics Huazhong University of Science and Technology Wuhan 430074 China School of Optical and Electronic Information and Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan 430074 China

We introduce a novel design methodology for freeform reflective imaging systems based on the integration of multiple subapertures. Subapertures are systems with the same aperture as the designed system but only a relevant small field of view (FOV). The method is based on the premise that each subaperture can retain excellent local characteristics within its designated FOV. By assembling these subapertures, we are able to design complex optical systems that achieve high performance with a wide FOV. During the design process, the reflective surfaces of the freeform reflective imaging system are constructed by combining the sampling points of many subapertures and the corresponding normal vectors of these sampling points, to maximize the retention of local characteristics of each subaperture in the combined freeform system. This method can converge at a relatively fast rate compared with traditional design method. The designed optical systems based on the proposed method exhibit good performance and can serve as superior starting structures for further optimization. Furthermore, Practical examples presented validate the effectiveness and practical applicability of our methodology. © 2025 The Author(s)

关键词： Construction method Freeform optics Optical design Ray tracing

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Synthesis of magnetic carrier sub-microparticles with high stability through carbon reduction and solation coating methods

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Rare Metals 2016年第11期35卷 870-873页

作者： Qiang Zhang Li-Bo Gao Jun-Yang Li Ze-Bin Guo Zhen-Yin Hai Yan-Ting Xing Chen-Yang Xue National Key Laboratory for Electronic Measurement Technology North University of China Science and Technology on Electronic Test & Measurement Laboratory North University of China

This paper presents a novel approach in synthesizing SiO_2-Fe_3O_4magnetic carrier with high *** Fe_3O_4 magnetic powders were synthesized via onestep method named carbon reduction method. The advantages of the methods are of simple process, none lead-in pollution agent, low cost and adaptation to large-lot production. The stability of the magnetic powders is improved through modifying the Fe_3O_4 with SiO_2 in solation *** results of the characterizations show that the superparamagnetic SiO_2-Fe_3O_4sub-microparticles（~600 nm）with saturation intensity of 36.4 m A·m^2·g^（-1）are obtained successfully. Moreover, the quantitating, repeatability and high stability of the carbon reduction method are demonstrated as well.

关键词： Carbon reduction method Superparamagnetic Fe304-SiO2

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