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3D microfluidic bubble freeze printing and its application for fabricating porous piezoelectric hydrogel

Journal of Manufacturing Processes 2025年 145卷 536-544页

作者： Jin, Shaobo Liu, Zenghao Wang, Hao Ye, Guoyong Dai, Liguo Guo, Shun Guo, Yuqi Zhao, Tingting Henan Key Laboratory of Intelligent Manufacturing Mechanical Equipment Zhengzhou University of Light Industry Zhengzhou450002 China Department of Obstetrics and Gynecology People's Hospital of Zhengzhou University Henan Provincial People's Hospital Zhengzhou Henan450003 China Key Laboratory of Advanced Display and System Application Shanghai University Shanghai200072 China

Three-dimensional (3D) porous materials have been widely used in flexible electronic sensing, biological scaffolds, and other applications. There are still challenges in fabricating porous hydrogel with micro-nano porous structures. Herein, we demonstrate a 3D microfluidic bubble freeze printing method for fabricating porous piezoelectric hydrogel. By integrating three-dimensional microfluidic technology into the 3D printing nozzle, a 3D microfluidic freeze printing (3MFP) platform with an integrated 3D microfluidic chip was innovatively developed. Microbubbles generated in the 3D microfluidic chip can be controlled by adjusting the flow rate parameter. The as-prepared PVA/PVDF foam of microbubbles was used as a template for printing the PVA/PVDF-based porous piezoelectric hydrogel with micro-nano porous structures. The 3MFP platform allows for fabricating PVA/PVDF-based porous piezoelectric hydrogels with varying porosity and shapes. This method enables the flexible and controllable printing of porous hydrogel in one-dimensional to three-dimensional patterns. The PVA/PVDF-based porous piezoelectric hydrogel exhibits excellent piezoelectric sensing properties and good controllability, indicating significant potential for use in flexible wearables and intelligent sensing applications. © 2025 The Society of Manufacturing Engineers

关键词： Microfluidic chips

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Advancements in graphene-based composites: A review of the emerging applications in healthcare

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Smart Materials in Medicine 2025年第1期6卷 120-138页

作者： Batool, Farwa Muhammad, Saz Muazzam, Rabia Waqas, Muhammad Ullah, Zia Roy, Shubham Zhang, Yinghe Wang, Ke Guo, Bing Department of Chemistry Lahore Garrison University DHA Phase VI Lahore Pakistan School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen518055 China School of Science Shenzhen Key Laboratory of Flexible Printed Electronics Technology Shenzhen Key Laboratory of Advanced Functional Carbon Materials Research and Comprehensive Application Harbin Institute of Technology Shenzhen518055 China Government Queen Mary Graduate College Lahore Pakistan

Graphene and related materials are emerging revolutionary materials due to fascinating stimuli-responsive physiochemical properties having widespread applications in developing advanced nano-systems for detection, diagnostics, and therapeutics in biomedical fields. Various materials like metal nanoparticles, polymers, dyes, drugs, and proteins could be combined yielding graphene-based composite materials (GBCMs) to synergistically fulfill different biomedical requirements. The 2D conjugated structure, easy surface functionalization via covalent or van der Waal interactions, and combination with different components for versatile functionalities altogether contribute to the development of GBCM for healthcare applications. This review specifically focuses on GBCMs and discusses specific material properties relevant to their material applications in healthcare. Furthermore, the synthesis, toxicity, and biocompatibility of these GBCMs, and their interactions with biological materials are thoroughly discussed. Importantly, the recent cutting-edge applications in the field of healthcare, including its role in the development of antibacterial, anti-viral, and photothermal therapies, wound healing, drug delivery, neurodegenerative disease therapy, and biosensing based on GBCMs are well-updated. Additionally, the applications of GBCMs in point-of-care devices, wearable electronics, and tissue engineering are well summarized. We hope this review opens up more possibilities to design more innovative healthcare materials derived from graphene. © 2025 The Authors

关键词： Biocompatibility

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Port-controllable routing of orbital angular momentum modes using a rotatable diffractive neural network

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Science China(Physics,Mechanics & Astronomy) 2025年第06期Mechanics & Astronomy) .卷 158-167页

作者： Junmin Liu Jiafu Chen Qingji Zeng Zemin Liang Xinping Wu Xin Zhao Jiangnan Xiao Huapeng Ye Ze Dong Dianyuan Fan Shuqing Chen Institute of Microscale Optoelectronics Shenzhen University College of New Materials and New Energies Shenzhen Technology University Terahertz Technology Innovation Research Institute Shanghai Key Laboratory of Modern Optical System Terahertz Science Cooperative Innovation Center School of Optical-Electrical Computer Engineering University of Shanghai for Science and Technology Guangdong Provincial Key Laboratory of Optical Information Materials and Technology & Institute of Electronic Paper Displays South China Academy of Advanced Optoelectronics South China Normal University School of Information and Electronics Beijing Institute of Technology

Orbital angular momentum(OAM) modes provide an additional orthogonal physical dimension, offering transformative potential for enhancing optical communication capacity. Despite significant progress in mode multiplexing, the development of robust communication networks faces persistent challenges, particularly in effectively routing and controlling these multiplexed channels among network nodes. To tackle these dilemmas, we propose a rotatable diffractive neural network(R-DNN) strategy and demonstrate its capability for port-controllable OAM mode routing. By leveraging the correlation between the orthogonal evolution of OAM modes in free space and phase modulations during propagation, the R-DNN precisely shapes the spatial evolution of mode fields through multiple rotatable phase layers, enabling efficient routing to specific output ports. This approach exploits the interaction of secondary wavelets with the relative states of the rotatable layers, allowing on-demand control of mode evolution paths and enhancing routing flexibility. As a proof of concept, we developed a tri-functional router that successfully directs three OAM modes to individually controllable output ports. This router achieves an average intermode crosstalk of less than-16.4 dB across three functional states, one-dimensional, two-dimensional, and cross-connected switching, while supporting the routing of 5.85 Tbit/s quadrature phase-shift keying signals. These results highlight the R-DNN's effectiveness in achieving precise and controllable OAM mode manipulation, paving the way for advanced applications in mode-multiplexed communication networks and beyond.

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Degradation state prediction of IGBT based on optimized variational mode decomposition and hybrid models

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Electrical Engineering 2025年 1-21页

作者： He, Deqiang Wang, Yanbo Wu, Jinxin Jin, Zhenzhen Zhao, Ming Chen, Yanjun State Key Laboratory of Featured Metal Materials and Life-Cycle Safety for Composite Structures Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology School of Mechanical Engineering Guangxi University Nanning China State Key Laboratory of Heavy-Duty and Express High-Power Electric Locomotive Zhuzhou China Guangxi Key Laboratory of Precision Navigation Technology and Application Guilin University of Electronic Technology Guilin China Guangxi Liugong Machinery Co. Ltd Liuzhou China

The insulated gate bipolar transistor (IGBT) is critical in motor drivers. Prolonged operation can lead to gradual degradation, adversely affecting motor operation and system performance. Therefore, accurate IGBT degradation state prediction (DSP) is essential for the timely maintenance and stable operation of motor drivers. The existing methods make it difficult to effectively deal with complex original degradation data, resulting in low DSP accuracy. To solve this issue, an improved method called ISSA-VMD-FDE based on optimized variational mode decomposition (VMD) and hybrid models is presented. Initially, the improved sparrow search algorithm (ISSA) is employed to optimize the VMD with minimum envelope entropy to obtain the key parameter combinations affecting VMD performance. Subsequently, the optimized VMD decomposes the IGBT degradation state data into multiple intrinsic mode functions (IMFs) and calculates each IMF’s fluctuation-based dispersion entropy (FDE). Based on the magnitude of FDE, the IMFs are categorized into high-frequency and low-frequency components. Finally, different models are applied to predict the high-frequency and low-frequency components separately, and the predictions are combined to yield the final DSP results. Experimental results demonstrate that the proposed prediction method exhibits strong predictive performance and reduces the MAPE by 89.41% compared to conventional methods, effectively supporting predictive maintenance and ensuring the reliable operation of IGBT.

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Multi-view fully connected graph to fuse multi-sensor signals for mechanical equipment remaining useful life prediction

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Journal of Manufacturing systems 2025年 80卷 1029-1052页

作者： Jinxin Wu Deqiang He Zhenzhen Jin Ming Zhao Xianwang Li Yanjun Chen Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology School of Mechanical Engineering Guangxi University Nanning 530004 China State Key Laboratory of Heavy-duty and Express High-power Electric Locomotive Zhuzhou 412001 China Guangxi Key Laboratory of Precision Navigation Technology and Application Guilin University of Electronic Technology 541004 China Guangxi Liugong Machinery Co. Ltd Liuzhou 545007 China

Accurate remaining useful life prediction is essential for enhancing equipment reliability and optimizing maintenance strategies. However, existing methods struggle to effectively integrate multi-sensor data while quantifying uncertainty. To address these challenges, a multi-view fully connected graph neural network is proposed for multi-sensor mechanical equipment remaining useful life prediction. Firstly, local fully connected graphs and global graphs are constructed to comprehensively characterize the multi-view spatial correlations from global and local views. Meanwhile, the graph convolution operations are performed on local and global graphs to extract the intricate spatial dependencies within multi-sensor signals. Then, the learned multi-view spatial representations are fed into the temporal convolutional network to capture the temporal dependencies across sensor timestamps. Finally, a joint optimization network is developed to simultaneously predict the remaining useful life and its associated prediction interval, enabling uncertainty quantification. Extensive experiments on two multi-sensor monitoring degradation datasets demonstrate the superior performance of the proposed model, offering valuable technical support for predictive maintenance.

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Efficient Red Sn-Based Perovskite Light Emitting Diodes by A Competitive Antioxidation Strategy

IEEE Electron Device Letters

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IEEE Electron Device Letters 2025年

作者： Gong, Yingqun Shi, Yuxin Huo, Sitao Wang, Lin Zhang, Xiaofei Kong, Lingmei Wang, Sheng Yang, Yingguo Yang, Xuyong Shanghai University Key Laboratory of Advanced Display and System Application Ministry of Education Shanghai200072 China Seoul National University Department of Materials Science and Engineering Seoul08826 Korea Republic of Shanghai Tianma Micro-Electronics Co. Ltd China Zhangjiang Lab Shanghai Advanced Research Institute Shanghai China Fudan University School of Microelectronics Shanghai China

Tin (Sn)-based perovskite light-emitting diodes (PeLEDs) have emerged as a promising candidate for next-generation displays because of their eco-friendliness, exceptional optoelectronic properties, and cost-effective solution processability. However, their electroluminescence performance still lags behind their lead (Pb) counterparts, primarily due to the undesired Sn2+ oxidation to Sn4+ and the rapid crystallization of Sn-based perovskite, resulting in high defect density as well as poor film quality. Herein, we reported a competitive antioxidation strategy by utilizing a phosphorus ylide, namely (triphenylphosphoranilidene) acetaldehyde (TPPA), to suppress the oxidation of Sn2+ and regulate the growth kinetics, simultaneously. The TPPA with highly active polar phosphorus-carbon bonds can be oxidized prior to Sn2+, and their large steric hindrance can slow down the crystallization process of tin-based perovskite. Moreover, the main product from the oxidation reaction, namely triphenylphosphine oxide (TPPO), can further passivate defects by coordinating with SnI6 octahedra. The resulting Sn-based perovskite film exhibits enhanced optical properties and uniform, dense morphology. Leveraging these improvements, the optimized PeLED delivers pure-red light emission with Commission Internationale de L'Eclairage (CIE) color coordinates of (0.69, 0.30), an external quantum efficiency (EQE) of 8.1% and maximum luminance of 672 cd m-2. This work provides a facile route to enhance the overall performance of Sn-based PeLEDs. © 1980-2012 IEEE.

关键词： Perovskite

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Unsupervised motion detection with background update and shadow suppression

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控制理论与应用（英文版） 2012年第4期10卷 517-522页

作者： Yepeng GUAN School of Communication and Information Engineering Shanghai University Key Laboratory of Advanced Displays and System Application Ministry of Education

An algorithm is developed to detect moving object and suppress shadow. According to motion variations caused by some moving objects in a scene, a background update approach is proposed. The developed update method ef- ficiently prevents undesired corruption of background and does not consider the adaptation coefficient or the learning rate used in some existing algorithms. A multi-scale wavelet transform methodology is used to segment foreground from a clut- ter background. The optimal selection of threshold value is automatically determined which does not require any complex supervised training or manual calibration. According to photometric invariant, a color ratio difference is proposed to sup- press shadow. Some complete foreground motion object regions are extracted by integrating moving object segmentation in the multi-scale wavelet with shadow suppression in the color ratio difference. The mentioned method is less affected by the presence of moving objects in a scene. Experimental results show that the proposed approach is efficient in detecting motion objects and suppressing shadows by comparisons.

关键词： Moving objects segmentation Shadow elimination Color ratio Multi-scale wavelet transformation

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MambaRF: A Bi-directional Mamba Structure for Radio Frequency Signal Classification of Unmanned Aerial Vehicle

MambaRF: A Bi-directional Mamba Structure for Radio Frequenc...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Mufeng Yao Chao Liu Lexu Xie Mingmin Chi School of Computer Science Shanghai Key Laboratory of Data Science Fudan University Shanghai China School of Computer Science Fudan University Zhengzhou Zhongke Institute of Integrated Circuit and System Application Shanghai China Henan Institute of Advanced Technology Zhengzhou University Zhengzhou China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

The rapid development of Unmanned Aerial Vehicle (UAV) technology has facilitated the widespread use of UAVs in daily life, this advancement brings huge regulatory demand for UAVs. Automatic identification of UAVs using radio frequency (RF) signals can effectively reduce regulatory costs. Previous studies first extracts spectrogram features from raw RF signals using short-time Fourier transform, and then use neural networks to classify the spectrograms. These studies are mainly based on local convolution, ignoring the long-range dependence of the spectrograms, and thus are limited in terms of UAV classification accuracy. In addition, these works also focus only on classifying UAV types without identifying flight states (e.g., hovering, flying, and switch on). To this end, we propose MambaRF, which employs a bi-directional selective scanning mechanism to capture long-range information of spectrograms from two different directions. MambaRF also jointly classifies UAV types and flight states by using two decoupled classification heads, which has not been addressed in previous studies. Experiments on two publicly available datasets show that our proposed MambaRF outperforms VMamba and other previous studies in both type classification and flight state classification.

关键词： Accuracy Convolution RF signals Bidirectional control Switches Autonomous aerial vehicles Feature extraction Speech processing Spectrogram Radiofrequency identification

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An Image Semantic Communication system Based on GAN and Relative Position-Encoding

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IEEE Communications Letters 2025年

作者： Zhang, Ziqi Tan, Weijie Li, Chunguo Guizhou University College of Big Data and Information Engineering Guiyang550025 China Guizhou University State Key Laboratory of Public Big Data College of Computer Science and Technology Guiyang550025 China Advanced Cryptography and System Security Key Laboratory of Sichuan Province Chengdu610025 China Ministry of Industry and Information Technology Laboratory of Cryptography Application Technology Innovation and Testing Verification Beijing100015 China Southeast University School of Information Science and Engineering Nanjing210096 China

In image semantic communication, the complex wireless channel environment leads to the loss of image details and performance degradation during transmission. To address this issue, we propose an image semantic communication system based on Generative Adversarial Networks (GAN) and Relative Position-Encoding (RPE), named GAN-RpeSC. Specifically, in the system design, we introduce the GAN network at the output of the semantic communication framework to enhance the image restoration. We integrate the RPE module into the Visual Transformer (ViT) module, adding the RPE module to its Multihead Self Attention (MHSA), so that the model can better capture the spatial location information of the image. Experimental results show that the proposed GAN-RpeSC has significant advantages in improving image transmission quality, with a 0.3 dB improvement in peak signal-to-noise ratio (PSNR) compared to the ViT module alone. © 1997-2012 IEEE.

关键词： Encoding (symbols)

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Long-Lived Thermally Activated Delayed Fluorescence and Room Temperature Phosphorescence for Optoelectronic Devices

SSRN

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SSRN 2025年

作者： Wang, Ping Wang, Hanyu Long, Chunye Guan, Yan Wang, Yang Wu, Chengheng Wang, Pu Wang, Fuzhi Xie, He-Lou Key Lab of Environment-friendly Chemistry and Application in Ministry of Education Key Laboratory of Polymeric Materials and Application Technology of Hunan Province Key Laboratory of Advanced Functional Polymer Materials of Colleges Universities of Hunan Province College of Chemistry Xiangtan University Hunan Province Xiangtan411105 China Beijing National Laboratory for Molecular Sciences Key Laboratory of Polymer Chemistry and Physics of Ministry of Education Center for Soft Matter Science and Engineering College of Chemistry and Molecular Engineering Peking University Beijing100871 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of New Energy North China Electric Power University Beijing102206 China

Organic thermally activated delayed fluorescence (TADF) and room temperature phosphorescence (RTP) materials have merited enormous application prospects in organic optoelectronics. In spite of this, long-lived TADF and RTP dual emissions based on single polymers still face great challenge. In this work, we develop a monomer (CzBT) with twisted electron donating carbazole and electron withdrawing benzothiadiazole (D-A) structure and then copolymerize it with N-isopropylacrylamide (NIPAM) to achieve TADF and RTP dual-emission polymers (NP1-50~NP1-1000). They not only exhibit high efficiency (20%) and long-lived (268 ms) TADF emission, but also present red RTP emission with lifetime reaching 240 ms. Theoretical calculations confirm that the introduction of twisted D-A structure and heteroatoms can not only provide appropriate ΔEST (0.21 eV) between the singlet and triplet states to promote long-lived TADF, but also enhance spin orbital coupling for RTP emission. High performance active optical waveguide with quite low optical loss coefficient of 0.097 dB/mm was obtained for NP1-50 fiber. When applied to solution-processable organic light emitting diodes (OLED) devices, it yields excellent current efficiency of 62.7 cd/A with small efficiency roll-off and maximum luminance of 90858 cd/m2. This class of polymers pave the road for high efficiency optoelectronic devices. © 2025, The Authors. All rights reserved.

关键词： Fluorescence

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