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arXiv 2021年

作者： Li, Kaiwen Zhang, Tao Wang, Rui Wang, Yuheng Han, Yi College of Systems Engineering National University of Defense Technology Changsha410073 China Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology HKL-MSI2T Changsha410073 China Graduate College National University of Defense Technology Changsha410073 China Science and Technology on Parallel and Distributed Processing Laboratory College of Computer National University of Defense Technology Changsha410073 China

This paper introduces a new deep learning approach to approximately solve the Covering Salesman Problem (CSP). In this approach, given the city locations of a CSP as input, a deep neural network model is designed to directly output the solution. It is trained using the deep reinforcement learning without supervision. Specifically, in the model, we apply the Multi-head Attention to capture the structural patterns, and design a dynamic embedding to handle the dynamic patterns of the problem. Once the model is trained, it can generalize to various types of CSP tasks (different sizes and topologies) with no need of re-training. Through controlled experiments, the proposed approach shows desirable time complexity: it runs more than 20 times faster than the traditional heuristic solvers with a tiny gap of optimality. Moreover, it significantly outperforms the current state-of-the-art deep learning approaches for combinatorial optimization in the aspect of both training and inference. In comparison with traditional solvers, this approach is highly desirable for most of the challenging tasks in practice that are usually large-scale and require quick decisions. Copyright © 2021, The Authors. All rights reserved.

关键词： Combinatorial optimization

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Manmade Target Scattering Structure Null-Pol Recognition and Application

Manmade Target Scattering Structure Null-Pol Recognition and...

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IEEE International Conference on Radar

作者： GuoQing Wu SiWei Chen YongZhen Li XueSong Wang State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System (CEMEE) School of Electronic Science and Engineering National University of Defense Technology ChangSha China

ISBN: (纸本)9781665468893

Target's optimal polarization is the fundamental theory of radar polarization. Null-Pol, also called Co-Pol Null, is one of the significant polarization states, through which other optimal polarization states can be derived. Null-Pol theory is widely applied in polarization reception match, contrast enhancement and so on. This paper revealed the advantage of Null-Pol theory in manmade target scattering structure recognition for the first time. The complex polarization ratio plane and polarization response characteristics were combined and the Null-Pol 3D response patterns were represented, which can reveal the difference of canonical scattering structures. Then, the Null-Pol scattering structure recognition method of manmade targets is proposed. The scattering centers are extracted from radar images. The scattering structure type can be identified by matching the Null-Pol response characteristic vectors with canonical scatters. Through the analysis of electromagnetic computation data of manmade targets, the proposed Null-Pol scattering structure recognition method can identify the scattering structure types of manmade targets. Especially, the results of symmetric targets have better performance than Cameron decomposition, which is more consistent with target's actual scattering structure types.

关键词： Polarization Visualization Three-dimensional displays Target recognition Radar Radar scattering Radar imaging

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An LSTM-driven thermoelectric coupling response prediction method for shape memory alloy actuators

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Scientific reports 2025年第1期15卷 17642页

作者： Shaozhe Ding Longbin Liu Shifeng Zhang Mingkun Li College of Aerospace Science and Engineering National University of Defense Technology Changsha 410073 China. Hunan Provincial Key Laboratory of Aerospace Cross-Domain Flight Vehicle System and Control Technology Changsha 410073 China. College of Aerospace Science and Engineering National University of Defense Technology Changsha 410073 China. longbuaa@***. Hunan Provincial Key Laboratory of Aerospace Cross-Domain Flight Vehicle System and Control Technology Changsha 410073 China. longbuaa@***.

Shape memory alloys (SMAs) show exceptional potential in actuator design due to their shape memory effect and superelasticity, yet their thermoelectric hysteresis challenges accurate modeling. This study proposes a hybrid framework integrating long short-term memory (LSTM) networks with physical kinematics to predict SMA actuator responses. Unlike conventional approaches, our method decouples material behavior prediction from actuator geometry: A single-layer LSTM network processes voltage-time sequences to predict SMA wire's temperature and resistance dynamics, while a physics-based model computes angular displacement through phase transformation and constitutive equations. Trained on 10 experimental conditions (1-2 °C/s heating rates) and tested on 3 unseen cases (0.8 °C/s), the model achieves a mean absolute error of < 5% in angular displacement prediction, with root mean square errors of 2.5 × 10 for temperature/resistance outputs. The modular architecture eliminates neural network retraining during structural iterations-only ordinary differential equation parameters require adjustment. This approach advances rapid actuator optimization, demonstrating faster computational efficiency compared to full-physics models. Our findings establish a computationally sustainable paradigm for smart material-based actuation systems, extensible to piezoelectric and magnetostrictive materials through constitutive parameter substitution.

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Adversarial Examples of SAR Images for Deep Learning based Automatic Target Recognition

Adversarial Examples of SAR Images for Deep Learning based A...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Ling Pang Lulu Wang Yi Zhang Hu Li National Key Laboratory of Science and Technology on Information System Security Beijing China Artificial Intelligence Research Center National Innovation Institute of Defense Technology Beijing China Central Future Works Technology Co. Ltd. Beijing China

ISBN: (纸本)9781665446006

With the development of deep neural network techniques, an explosion of neural network structures are designed and gained great success in the field of image-based SAR automatic target recognition. Recent studies have shown that machine learning networks are vulnerable to adversarial attacks, which may cause severe security issue. In this paper, a convolution neural network (CNN) for SAR target classification is designed and then attacked by adversarial examples using fast gradient sign method (FGSM) and basic iteration method (BIM). Experiments shown that although the classification accuracy of the model is quite high for real SAR image dataset, elaborately designed tiny perturbation on the data will magnificently reduce the classification performance.

关键词： Deep learning Image recognition Target recognition Perturbation methods Neural networks Radar polarimetry Explosions

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A Symmetric Multilayer GeSe/GeSeSbTe Ovonic Threshold Switching Selector with Improved Endurance and Stability

A Symmetric Multilayer GeSe/GeSeSbTe Ovonic Threshold Switch...

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IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)

作者： Shiqing Zhang Bing Song Shujing Jia Rongrong Cao Sen Liu Hui Xu Qingjiang Li College of Electronic Science and Engineering National University of Defense Technology Changsha China Key Laboratory of Functional Materials for Informatics Shanghai Institute of Micro-System and Information Technology Chinese Academy of Sciences Shanghai China

ISBN: (纸本)9781665417488

Ovonic threshold switching (OTS) selector is becoming the most suitable candidate for selector devices in memristor crossbar array, owing to its high selectivity and fast response time. However, device endurance and variance are persistent tricky problems for application. In this article, a novel symmetric multilayer OTS selector based on simple GeSe and SbTe-doped GeSe was investigated. The results showed improving selector performed extraordinary endurance up to 10 10 and the fluctuation of threshold voltage is 1.5 %. These developments pave the way towards tuning a new class of OTS materials engineering, ensuring improvement of electrical performances.

关键词： Performance evaluation Fluctuations Memristors Switches Nonhomogeneous media Threshold voltage Circuit stability

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Self-powered solar-blind photodiodes based on EFG-grown(100)-dominant β-Ga_(2)O_(3) substrate

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Chinese Physics B 2021年第1期30卷 483-486页

作者： Xu-Long Chu Zeng Liu Yu-Song Zhi Yuan-Yuan Liu Shao-Hui Zhang Chao Wu Ang Gao Pei-Gang Li Dao-You Guo Zhen-Ping Wu Wei-Hua Tang Laboratory of Information Functional Materials and Devices School of Science&State Key Laboratory of Information Photonics and Optical CommunicationsBeijing University of Posts and TelecommunicationsBeijing 100876China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing 100049China The Engineering Research Center for Semiconductor Integrated Technology Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China China Aerospace System Simulation Technology Co. Ltd.(Beijing)Beijing 100195China Division of Interdisciplinary and Comprehensive Research&Platform for Characterization and Test Suzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of SciencesSuzhou 215123China Center for Optoelectronics Materials and Devices&Key Laboratory of Optical Field Manipulation of Zhejiang Province Department of PhysicsZhejiang Sci-Tech UniversityHangzhou 310018China School of Nano-Tech and Nano-Bionics University of Science and Technology of ChinaHefei 230026China College of Electronic and Optical Engineering&College of Microelectronics Nanjing University of Posts and TelecommunicationsNanjing 210046China National and Local Joint Engineering Laboratory for RF Integration and Micro-Packing Technologies Nanjing University of Posts and TelecommunicationsNanjing 210046China

We report the edge-defined-film-fed(EFG)-grown β-Ga_(2)O_(3)-based Schottky *** device has a reverse leakage current of ~nA and a rectified ratio of ~10^(4) at ±5 *** addition,the photodiode detector shows a dark current of 0.3 pA,a photo-responsivity(R) of 2.875 mA/W,a special detectivity(D*) of 10^(10) Jones,and an external quantum efficiency(EQE) of 1.4% at zero bias,illustrating a self-powered *** work may advance the development of the Ga_(2)O_(3)-based Schottky diode solar-blind photodetectors.

关键词： β-Ga_(2)O_(3)substrate Schottky photodiode solar-blind detection

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Detecting bulk carbon ferromagnetism in graphene multi-edge structure

arXiv

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arXiv 2023年

作者： Wang, Chao Jian, Nan Yin, Meijie Zhang, Xi Yang, Zhi Mo, Xiuhao Kikkawa, Takashi Daimon, Shunsuke Saitoh, Eiji Li, Qian Yan, Wensheng Hou, Dazhi Yang, Lei Diao, Dongfeng Institute of Nanosurface Science and Engineering Shenzhen University Shenzhen518060 China Electron Microscopy Center of Shenzhen University Shenzhen518060 China National Key Laboratory of Radio Frequency Heterogeneous Integration Shenzhen University Shenzhen518060 China Department of Applied Physics The University of Tokyo Tokyo113-8656 Japan Tokyo152-8550 Japan Institute for AI and Beyond The University of Tokyo Tokyo113-8656 Japan WPI Advanced Institute for Materials Research Tohoku University Sendai980-8577 Japan National Synchrotron Radiation Laboratory School of Nuclear Science and Technology University of Science and Technology of China Anhui Hefei230029 China Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China Hefei230026 China Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi’an Jiaotong University Xi’an710049 China

The emergence of bulk carbon ferromagnetism is long-expected over years. At nanoscale, carbon ferromagnetism was detected in graphene nanoribbon segments1–3, graphene triangulene dimers4,5, and other graphene-like molecules6–8 by analyzing their magnetic edge states via scanning tunneling microscopy(STM)9, and its origin can be explained by local redistribution of electron wave function3,5,8. Recently, there are experimental efforts on discovering orbital ferromagnetism in twisted bilayer graphene10,11, which is still limited in STM region. In larger scale, carbon ferromagnetism can be created by deliberately producing defects in graphite12–14, and detected by macroscopic technical magnetization. Meanwhile, it becomes crucial to determine that the detected magnetization is originated from carbon rather than from magnetic impurities. One solution to eliminate this uncertainty is X-ray magnetic circular dichroism (XMCD). A contrast of dichroism at π* absorption energy was observed in the scanning x-ray microscope image of proton-irradiated graphite15. Nonetheless, a reproducible, full section of XMCD spectrum across C-1s absorption energy has not appeared yet, which should be decisive for assuring the indisputable existence of bulk carbon ferromagnetism. Besides, the lack of direct observation on the atomic structure of the ferromagnetic carbon leaves the structural origin of its ferromagnetism still in mist. In this work, for detecting bulk carbon ferromagnetism, we managed to grow all-carbon film consisting of vertically aligned graphene multi-edge (VGME), which wove into a three-dimensional hyperfine-porous network. Magnetization (M-H) curves and XMCD spectra co-confirmed bulk carbon ferromagnetism of VGME at room temperature, with the average unit magnetic momentum of ~0.0006 μB/atom. The influence of magnetic impurities on magnetization was excluded by both absorption spectra and inductively coupled plasma mass spectrometry measurements. The spin transfer behavio

关键词： Ferromagnetism

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Multiple-Photon Resonance Enabled Quantum Interference in Emission Spectroscopy of N_(2)^(+)

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Ultrafast science 2024年第2期4卷 1-7页

作者： Xiang Zhang Qi Lu YaLei Zhu Jing Zhao Rostyslav Danylo Liang Xu Mingwei Lei Hongbing Jiang Chengyin Wu Zhedong Zhang Aurélien Houard Vladimir Tikhonchuk AndréMysyrowicz Qihuang Gong Songlin Zhuang Zengxiu Zhao Yi Liu Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology.516Jungong Road200093 ShanghaiChina Department of Physics National University of Defense TechnologyChangsha 410073China Laboratoire d'Optique Appliquee ENSTA ParisEcole Polytechnique CNRSInstitut Polytechnique de Paris828 Boulevard des Marechaux91762 Palaiseau CedexFrance State Key Laboratory for Mesoscopic Physics School of PhysicsPeking UniversityBejing 100871China Department of Physics City University of Hong KongKowloonHong Kong SAR Centre Lasers Intenses et Applications University of Bordeaux-CNRS-CEA351 Cours de la Liberation33405 Talence Cedex France Extreme Light Infrastructure ERIC ELI Beamlines Facility25241 Doln BrezanyCzech Republic CAS Center for Excellence in Ultra-intense Laser Science Shanghai 201800China

Quantum interference occurs frequently in the interaction of laser radiation with materials,leading to a series of fascinating effects such as lasing without inversion,electromagnetically induced transparency,Fano resonance,*** quantum interference effects are mostly enabled by single-photon resonance with transitions in the matter,regardless of how many optical frequencies are ***,we report on quantum interference driven by multiple photons in the emission spectroscopy of nitrogen ions that are resonantly pumped by ultrafast infrared laser *** the spectral domain,Fano resonance is observed in the emission spectrum,where a laser-assisted dynamic Stark effect creates the *** the time domain,the fast-evolving emission is measured,revealing the nature of free-induction decay arising from quantum radiation and molecular *** findings clarify the mechanism of coherent emission of nitrogen ions pumped with mid-infrared pump laser and are found to be *** present work opens a route to explore the important role of quantum interference during the interaction of intense laser pulses with materials near multiple photon resonance.

关键词： pumped pump Quantum

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Logarithm Radon-Fourier transform for high speed small target detection with atmospheric resistance effect

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Digital Signal Processing: A Review Journal 2025年 165卷

作者： Sun, Difeng Xu, He Wu, Zutang Li, Jin Wu, Youcao Li, Jianbing State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System College of Electronic Science and Technology National University of Defense Technology Changsha410073 China National Key Laboratory of Intense Pulsed Radiation Simulation and Effect Northwest Institute of Nuclear Technology Xi'an710024 China Academy of Military Science of the People's Liberation Army Beijing100071 China

Detecting high-speed, small targets in air is challenging due to their complex non-linear motion model and range migration effects. Traditional finite order polynomial models often fail to account for atmospheric drag accurately. This paper introduces a logarithmic relationship between range and time to model this motion, employing the Logarithmic Radon-Fourier Transform (LRFT) for accurately compensating the envelope and phase migration over extended accumulation periods. It offers both the ergodic search method and the fast implementation method for solving LRFT, along with a theoretical analysis of lobe location and amplitude. Simulation results indicate that compared with traditional RFT-based methods, LRFT improves accumulation gain, enhances the main lobe's relative amplitude over sidelobes, and offers better detection performance in noisy environments. It provides more accurate recovery of target motion and improved target distinction capabilities. These benefits over traditional methods are especially evident when the product of the attenuation coefficient α, the initial velocity v0, and the total coherent accumulation time TM exceeds a specific threshold. © 2025 Elsevier Inc.

关键词： Fast Fourier transforms

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Recent advances in wireless epicortical and intracortical neuronal recording systems

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science China(Information sciences) 2022年第4期65卷 5-22页

作者： Bowen JI Zekai LIANG Xichen YUAN Honglai XU Minghao WANG Erwei YIN Zhejun GUO Longchun WANG Yuhao ZHOU Huicheng FENG Honglong CHANG Jingquan LIU Unmanned System Research Institute Northwestern Polytechnical University Ministry of Education Key Laboratory of Micro and Nano Systems for Aerospace School of Mechanical EngineeringNorthwestern Polytechnical University Collaborative Innovation Center of Northwestern Polytechnical University NEURACLE TECH (China) Co. Ltd. College of Electronics and Information Hangzhou Dianzi University Defense Innovation Institute Academy of Military Sciences (AMS) Tianjin Artificial Intelligence Innovation Center (TAIIC) National Key Laboratory of Science and Technology on Micro/Nano Fabrication Department of Micro/Nano ElectronicsShanghai Jiao Tong University

An implantable brain-computer interface(BCI) has proven to be effective in the field of sensory and motor function restoration and in the treatment of neurological disorders. Using a BCI recording system,we can transform current methods of human interaction with machines and the environment, especially to help those with cognitive and mobility disabilities regain mobility and reintegrate into society. However,most reported work has focused on a simple aspect of the whole system, such as electrodes, circuits, or data transmission, and only a very small percentage of systems are wireless. A miniature, lightweight, wireless,implantable microsystem is key to realizing long-term, real-time, and stable monitoring on freely moving animals or humans in their natural conditions. Here, we summarize typical wireless recording systems, from recording electrodes, processing chips and controllers, wireless data transmission, and power supply to the system-level package for either epicortical electrocorticogram(ECo G) or intracortical local field potentials(LFPs)/spike acquisition, developed in recent years. Finally, we conclude with our vision of challenges in next-generation wireless neuronal recording systems for chronic and safe applications.

关键词： wireless implant neuronal recording system recording electrodes processing chips wireless data transmission power supply system-level package

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