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A nacre-inspired structural material with thermochromic properties and mechanical robustness by atomic-level design

national science Review 2025年第5期12卷 293-304页

作者： Jun Pang Ze-Yu Wang Tao Song Zhen-Bang Zhang Yu-Feng Meng Si-Chao Zhang Long Zhang Wei-Yi Xing Shu-Hong Yu New Cornerstone Science Laboratory Department of Chemistry Institute of Biomimetic Materials & Chemistry Anhui Engineering Laboratory of Biomimetic MaterialsDivision of Nanomaterials &Chemistry Hefei National Research Center for Physical Sciences at the Microscale University of Science and Technology of China School of Information Science and Technology University of Science and Technology of China Department of Chemistry Institute of Innovative MaterialsShenzhen Key Laboratory of Sustainable Biomimetic MaterialsGuangming Advanced Research InstituteSouthern University of Science and Technology State Key Laboratory of Fire Science University of Science and Technology of China

Advanced structural materials are often required to exhibit a combination of light weight,high strength and superior *** tic strategies hold promise for achieving these seemingly conflicting mechanical properties ***,current biomimetic structural materials lack active fire-warning and passive flame-retardant functionalities,which poses risks for their application in fire-prone ***,we present a nacre-mimetic alumina-cyanate resin composite（NAC） that has a combination of mechanical robustness with thermochromic and flame-retardant *** controlled atomic doping,chromium atoms are incorporated into alumina microplatelets,forming solid-solution assembly units that exhibit reversible thermochromism and a solid-solution-strengthening *** bioinspired 'brick-and-mortar' structure endows the NAC with high strength（～290.1 MPa） and fracture toughness(～11.1 MPa m1/2).Coupled with a machine-learning-based image-recognition system,the NAC leverages its thermochromic properties to deliver a rapid fire warning within 9 s at 250℃,which is significantly faster than traditional electronic fire *** layered structure effectively impedes oxygen flow,achieving an oxygen-limiting index of 50%,and thus ensuring excellent flame-retardant *** design delays the combustion peak and reduces the heat-release value,thereby enhancing the flame-retardant *** work demonstrates the effective integration of a structural and functional design for active early fire warning and passive flame retardancy,paving the way for structural materials in advanced fire-warning systems in challenging environments.

关键词： biomimetic structural materials mechanical robustness thermochromic properties active early fire warning passive flame retardancy

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Color-conversion displays:current status and future outlook

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Light(science & Applications) 2024年第12期13卷 2941-2961页

作者： Guijun Li Man-Chun Tseng Yu Chen Fion Sze-Yan Yeung Hangyu He Yuechu Cheng Junhu Cai Enguo Chen Hoi-Sing Kwok Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic EngineeringShenzhen UniversityShenzhen 518060China State Key Laboratory of Advanced Displays and Optoelectronics Technologies Department of Electronic and Computer EngineeringThe Hong Kong University of Science and TechnologyHong KongChina National and Local United Engineering Laboratory of Flat Panel Display Technology College of Physics and Information EngineeringFuzhou UniversityCollege of Physics and Information Engineering 350108FuzhouChina Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou 350108China

The growing focus on enhancing color quality in liquid crystal displays(LCDs)and organic light-emitting diodes(OLEDs)has spurred significant advancements in color-conversion ***,color conversion is also important for the development and commercialization of *** article provides a comprehensive review of different types of color conversion methods as well as different types of color conversion *** summarize the current status of patterning process,and discuss key strategies to enhance display ***,we speculate on the future prospects and roles that color conversion will play in ultra-high-definition micro-and projection displays.

关键词： materials projection outlook

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Monitoring C-C coupling in catalytic reactions via machine-learned infrared spectroscopy

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national science Review 2025年第2期12卷 177-185页

作者： Li Yang Zhicheng Zhao Tongtong Yang Donglai Zhou Xiaoyu Yue Xiyu Li Yan Huang Xijun Wang Ruyun Zheng Thomas Heine Changyin Sun Jun Jiang Sheng Ye Institutes of Physical Science and Information Technology School of Chemistry&Chemical EngineeringEngineering Research Center of Autonomous Unmanned System Technology(Ministry of Education) Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology School of Artificial IntelligenceAnhui University Helmholtz-Zentrum Dresden-Rossendorf Theoretical Chemistry Technische Universit?t Dresden Key Laboratory of Precision and Intelligent Chemistry School of Chemistry and Materials Science University of Science and Technology of China

Tracking atomic structural evolution along chemical transformation pathways is essential for optimizing chemical transitions and enhancing control. However, molecule-level knowledge of structural rearrangements during chemical processes remains a great challenge. Here, we couple infrared spectroscopy as a non-invasive method to probe molecular transformations, with a machine-learned protocol to immediately map the spectroscopic fingerprints to atomistic structures. From the theoretical perspective, we demonstrate it here with the example of C–C coupling in catalytic reactions, elucidating various structural conformations along dynamic trajectories. Within the transferable application to the specific CO–CO dimerization reaction, the structural and energetic variations of the critical chemical species could be identified via infrared spectroscopy. This approach extends the power of spectroscopy from fingerprinting chemical configurations to using them for assigning dynamic structural information.

关键词： chemical evolution machine learning spectroscopic descriptor dynamic monitoring catalytic reaction

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C2P-Net: Comprehensive Depth Map to Planar Depth Conversion for Room Layout Estimation

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IEEE Transactions on Pattern Analysis and Machine Intelligence 2025年第7期47卷 5350-5367页

作者： Zhang, Weidong Zhou, Mengjie Cheng, Jiyu Liu, Ying Zhang, Wei Xi'an University of Posts & Telecommunications School of Communications and Information Engineering China Xi'an Key Laboratory of Image Processing Technology and Applications for Public Security China Shandong University School of Control Science and Engineering China Ministry of Education Key Laboratory of Machine Intelligence and System Control China

Room layout estimation seeks to infer the overall spatial configuration of indoor scenes using perspective or panoramic images. As the layout is determined by the dominant indoor planes, this problem inherently requires the reconstruction of these planes. Some studies reconstruct indoor planes from perspective images by learning pixel-level or instance-level plane parameters. However, directly learning these parameters has the problems of susceptibility to occlusions and position dependency. In this paper, we introduce the Comprehensive depth map to Planar depth (C2P) conversion, which reformulates planar depth reconstruction into the prediction of a comprehensive depth map and planar visibility confidence. Based on the parametric representation of planar depth we propose, the C2P conversion is applicable to both panoramic and perspective images. Accordingly, we present an effective framework for room layout estimation that jointly learns the comprehensive depth map and planar visibility confidence. Due to the differentiability of the C2P conversion, our network autonomously learns planar visibility confidence by constraining the estimated plane parameters and reconstructed planar depth map. We further propose a novel approach for 3D layout generation through sequential planar depth map integration. Experimental results demonstrate the superiority of our method across all evaluated panoramic and perspective datasets. © 1979-2012 IEEE.

关键词： Layout Three Dimensional Displays Image Reconstruction Estimation Cameras Floors Cognition Transforms Training Semantics Room Layout Estimation Monocular Depth Estimation Planar Depth Reconstruction Planar Visibility Confidence Function Of Depth Comprehensive Function Room Layout Depth Planes Depth Conversion Layout Estimation Sequence Mapping Integration Of Sequences Joint Learning Panoramic Images Planar Graphs Parameter Plane Visible Light Validation Set Intersection Over Union Probability Function Training Images Weight Coefficient Output Channels Depth Values Adjacent Walls Planar Regions Semantic Labels Pixel Coordinates Dice Loss Non Planar Surfaces Depth Estimation Global Vision Camera Pose Camera Coordinate system

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A Game-Theoretic Approach for Satellites Beam Scheduling and Power Control in a Mega Hybrid Constellation Spectrum Sharing Scenario

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IEEE Internet of Things Journal 2025年第12期12卷 20626-20639页

作者： Li, Wei Jia, Luliang Chen, Yingwu Chen, Quan Yan, Jungang Qi, Nan National University of Defense Technology College of Systems Engineering Changsha China Space Engineering University College of Space Information Beijing China National University of Defense Technology College of Aerospace Science and Engineering Changsha China Nanjing University of Aeronautics and Astronautics Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information Technology Nanjing210016 China

A mega hybrid constellation of Low Earth Orbit (LEO) and Geosynchronous Orbit (GEO) satellites represents a typical architecture for future space networks. However, the emergence of such large constellations exacerbates the shortage of spectrum resources. To address this issue, this paper investigates a hierarchical optimization method for beam scheduling and power control of LEO satellites, aiming to extend the available spectrum by sharing the downlink spectrum of GEO satellites. In the upper-layer optimization, a many-to-one matching game model is constructed to achieve optimal matching of LEO satellite beams and LEO Users (LU). A distributed beam matching learning algorithm (DBMLA) is designed to find a stable matching solution for the model, with the convergence of the algorithm theoretically proven. In the lower-layer optimization, an LEO beam power level optimization game model is developed for discrete LEO beam power levels. This model is demonstrated to be an exact potential game with at least one Nash Equilibrium (NE). To solve this NE, a dynamic power allocation logarithmic learning algorithm (DPALLA) is proposed. Simulation results verify that the proposed DBMLA-DPALLA hierarchical optimization scheme effectively balances convergence time and accuracy compared to traditional independent optimization strategies. By leveraging the combined effects of the two optimization strategies, it better mitigates the co-channel interference experienced by GEO satellites and improves the average network satisfaction of the LUs. © 2025 IEEE.

关键词： Cochannel interference

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Ultra-compact multi-task processor based on in-memory optical computing

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光：科学与应用（英文版） 2025年第5期14卷 1364-1376页

作者： Wencan Liu Yuyao Huang Run Sun Tingzhao Fu Sigang Yang Hongwei Chen Department of Electronic Engineering Tsinghua UniversityBeijingChina Beijing National Research Center for Information Science and Technology(BNRist) BeijingChina Hunan Provincial Key Laboratory of Novel Nano Optoelectronic Information Materials and Devices College of Advanced Interdisciplinary StudiesNational University of Defense TechnologyChangshaChina

To enhance the computational density and energy efficiency of on-chip neuromorphic hardware,this study introduces a novel network architecture for multi-task processing with in-memory optical ***-chip optical neural networks are celebrated for their capability to transduce a substantial volume of parameters into optical form while conducting passive computing,yet they encounter challenges in scalability and *** the principles of transfer learning,this approach involves embedding the majority of parameters into fixed optical components and a minority into adjustable electrical ***,with deep regression algorithm in modeling physical propagation process,a compact optical neural network achieve to handle diverse *** this work,two ultra-compact in-memory diffraction-based chips with integration of more than 60,000 parameters/mm2 were fabricated,employing deep neural network model and the hard parameter sharing algorithm,to perform multifaceted classification and regression tasks,*** experimental results demonstrate that these chips achieve accuracies comparable to those of electrical networks while significantly reducing the power-intensive digital computation by 90％.Our work heralds strong potential for advancing in-memory optical computing frameworks and next generation of artificial intelligence platforms.

关键词： based computing in-memory multi-task optical processor ultra-compact

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Interval analysis for neural networks with application to fault detection

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science China(information sciences) 2024年第11期67卷 222-237页

作者： Zhenhua WANG Youdao MA Song ZHU Thach Ngoc DINH Yi SHEN Department of Control Science and Engineering Harbin Institute of Technology National Key Laboratory of Complex System Control and Intelligent Agent Cooperation School of Mathematics China University of Mining and Technology The CEDRIC-Lab Conservatoire National des Arts et Métiers (CNAM)

This paper investigates an interval analysis method for neural networks and applies it to fault detection for systems with unknown but bounded measurement noise. First, a novel interval analysis method is presented, which can compute the bounds of the output of a feedforward neural network subject to a bounded input. By applying the proposed interval analysis method to a network trained with fault-free system data, adaptive thresholds for fault detection are computed. Finally, one can acquire fault detection results via a fault detection strategy. The proposed method can achieve tight bounds of the network output and employ simple operations, which leads to accurate fault detection results and a low computational burden.A numerical simulation and an experiment on an AC servo motor are given to illustrate the effectiveness and superiority of the proposed method.

关键词： interval analysis feedforward neural network fault detection adaptive thresholds

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A comprehensive survey of visible infrared person re-identification from an application perspective

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Multimedia Tools and Applications 2024年第42期83卷 90243-90270页

作者： Chang, Hua Xu, Xin Liu, Wei Lu, Lingyi Li, Weigang School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan University of Science and Technology Wuhan430065 China School of Information Science and Engineering Wuhan University of Science and Technology Wuhan China

Person re-identification (ReID) is a significant issue in computer vision, aiming to match the same pedestrian across various cameras. Recent research on this issue has successfully reached a satisfactory performance level in the daytime scenario. However, the performance of ReID in low illumination scenarios suffers a dramatic degradation due to the insufficient personal information captured by visible cameras in low or no light scenarios. To address this challenge, the adoption of novel camera technologies for more effective pedestrian data is imperative. Owing to the constraints of distance and usage scenarios in deploying depth cameras, practical infrared cameras are frequently utilized, spurring research in visible infrared person re-identification (VI-ReID). Significant progress has been made in the field of VI-ReID in recent years, but only a few reviews have categorized this problem based on methodology. This article offers a novel perspective by classifying VI-ReID according to application scenarios. Following our categorization scheme, the main advancements in deep learning for VI-ReID over the past five years have been grouped into three categories as follows: retrieval of infrared images using visible images (V→IR), retrieval of visible images using infrared images (IR→V), and joint retrieval of infrared and visible images (V→IR and IR→V). Next, this survey outlines the available datasets and evaluation metrics. After that, we categorize diverse methodologies under the proposed classification and assess their performance metrics across common datasets. Finally, we present two prospective avenues for future research in this domain, informed by the current state of advancement. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Infrared imaging

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Coherence-protected operations in hybrid superconducting circuit-magnon system

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Chinese Physics B 2025年第3期34卷 251-257页

作者： Le-Tian Zhu Xing-Yu Zhu Zhu-Cheng Yue Tao Tu Chuan-Feng Li Key Laboratory of Quantum Information Chinese Academy of SciencesUniversity of Science and Technology of ChinaHefei 230026China School of Mechanical and Electronic Engineering Suzhou UniversitySuzhou 234000China Hefei National Laboratory University of Science and Technology of ChinaChinese Academy of SciencesHefei 230088China

Hybrid systems consisting of superconducting circuits and magnon systems are a promising platform for quantum ***,realizing high-fidelity magnon state preparation and manipulation remains an outstanding challenge due to the complexity of interactions and noise sources in hybrid ***,we propose a coherence-preserving magnon state manipulation *** engineering a superconducting-magnon coupling pulse and combining it with dynamical decoupling pulses,we design a composite pulse *** demonstrate the manipulation and preparation of non-classical states of magnons with a fidelity of up to 98%under realistic *** designs significantly improve the fidelity of manipulation and robustness to noise in hybrid systems compared to existing *** results pave the way for practical applications of quantum magnonics platforms.

关键词： circuit QED quantum information with hybrid systems entanglement production

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Clock Bias Gross Error Detection Method Based on WS-MAD

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Gyroscopy and Navigation 2024年第1期15卷 68-82页

作者： Jia Su Gao, Mengjia Yi, Qingwu Wang, Binbin Ma, Zhiwei College of Information Science and Engineering Hebei University of Science and Technology Shijiazhuang China State Key Laboratory of Satellite Navigation System and Equipment Technology Shijiazhuang China Henan University of Economics and Law Zhengzhou China

Abstract: This paper proposes a clock bias gross error detection method, which combines weighted support vector data description (SVDD) with modified median absolute deviation (MAD) to address the limitations of the traditional MAD method. The method uses the local reachable density as the weighting factor of SVDD, which fully considers the local characteristics of each data. By constructing the minimum hypersphere in the high-dimensional feature space, the one-dimensional data are transformed into the distance from the vector point to the center of the hypersphere in the high-dimensional space. This transformation increases the discrepancy between normal data and gross errors. The modified MAD method probes the distance from the current epoch vector point to the center of the hypersphere for gross errors, and thus determines whether the current clock bias is a gross error. The precision clock bias data of BDS-3 with different sampling intervals provided by GFZ were used for simulation experiments. By comparing the results of the MAD method and the WS-MAD method, it is found that the WS-MAD method can detect the small gross errors in the smooth clock bias frequency data and more gross errors in the clock bias data with trend term floating. The fitting and prediction analyses on satellites with different orbits and clock types show that the WS-MAD method improves the fitting and prediction accuracy of MEO and IGSO satellites better than that of GEO satellites. For the same MEO satellites, the enhancement effect of hydrogen clocks is better than that of rubidium clocks. © Pleiades Publishing, Ltd. 2024.

关键词： Vector spaces

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