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arXiv 2025年

作者： Zeng, Jinzhe Zhang, Duo Peng, Anyang Zhang, Xiangyu He, Sensen Wang, Yan Liu, Xinzijian Bi, Hangrui Li, Yifan Cai, Chun Zhang, Chengqian Du, Yiming Zhu, Jia-Xin Mo, Pinghui Huang, Zhengtao Zeng, Qiyu Shi, Shaochen Qin, Xuejian Yu, Zhaoxi Luo, Chenxing Ding, Ye Liu, Yun-Pei Shi, Ruosong Wang, Zhenyu Bore, Sigbjørn Løland Chang, Junhan Deng, Zhe Ding, Zhaohan Han, Siyuan Jiang, Wanrun Ke, Guolin Liu, Zhaoqing Lu, Denghui Muraoka, Koki Oliaei, Hananeh Singh, Anurag Kumar Que, Haohui Xu, Weihong Xu, Zhangmancang Zhuang, Yong-Bin Dai, Jiayu Giese, Timothy J. Jia, Weile Xu, Ben York, Darrin M. Zhang, Linfeng Wang, Han School of Artificial Intelligence and Data Science Unversity of Science and Technology of China Hefei China AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing100871 China University of Chinese Academy of Sciences Beijing China Baidu Inc. Beijing China Department of Computer Science University of Toronto TorontoON Canada Department of Chemistry Princeton University PrincetonNJ08540 United States University of Chinese Academy of Sciences Beijing100871 China State Key Laboratory of Physical Chemistry of Solid Surfaces iChEM College of Chemistry and Chemical Engineering Xiamen University Xiamen361005 China College of Integrated Circuits Hunan University Changsha410082 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center for Smart Materials and Device Integration School of Material Science and Engineering Wuhan University of Technology Wuhan430070 China College of Science National University of Defense Technology Changsha410073 China Hunan Key Laboratory of Extreme Matter and Applications National University of Defense Technology Changsha410073 China ByteDance Research Beijing100098 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Theoretical and Computational Photochemistry of Ministry of Education College of Chemistry Beijing Normal University Beijing100875 China Department of Geosciences Princeton University PrincetonNJ08544 United States Department of Applied Physics and Applied Mathematics Columbia University New YorkNY10027 United States IKKEM Fujian Xiamen361005 China Graduate

In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for molecular dynamics (MD) simulations and related applications. These packages, typically built on specific machine learning frameworks such as TensorFlow, PyTorch, or JAX, face integration challenges when advanced applications demand communication across different frameworks. The previous TensorFlow-based implementation of DeePMD-kit exemplified these limitations. In this work, we introduce DeePMD-kit version 3, a significant update featuring a multi-backend framework that supports TensorFlow, PyTorch, JAX, and PaddlePaddle backends, and demonstrate the versatility of this architecture through the integration of other MLPs packages and of Differentiable Molecular Force Field. This architecture allows seamless backend switching with minimal modifications, enabling users and developers to integrate DeePMD-kit with other packages using different machine learning frameworks. This innovation facilitates the development of more complex and interoperable workflows, paving the way for broader applications of MLPs in scientific research. Copyright © 2025, The Authors. All rights reserved.

关键词： Molecular dynamics

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An adaptive fault detection strategy for Cz crystal growth process

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IEEE Transactions on Instrumentation and Measurement 2025年

作者： Mu, Lingxia Feng, Nan Zhang, Zhenhua Zhang, Youmin Zhang, Jian Xian University of Technology Crystal Growth Equipment and Systems Integration National Engineering Research Center Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xian710048 China University of Science and Technology Beijing School of Intelligence Science and Technology Beijing100083 China Concordia University Department of Mechanical Industrial and Aerospace Engineering MontrealQCH3G 1M8 Canada

The monitoring and fault detection for the Czochralski (Cz) crystal growth process is important to ensure the quality of the produced mono-crystalline silicon. The Cz process is a typical multi-modes industrial process, which makes the detection difficult in distinguish the change caused by the fault or mode switching. In this paper, an adaptive fault detection strategy for Cz crystal growth process is proposed. Firstly, quality-related variables are selected from numerous process variables, based on which the training dataset is constructed. Then, a fault detection model is built based on slowly-varying feature and statics indicator. A model switching strategy and updating algorithm are designed to handle the abnormal situation caused by the mode switching or fault occurrence. Three representative experiments are conducted to verify the performance of the proposed strategy, including numerical cases, a publicly available dataset, and Cz crystal growth process from our laboratory. © 1963-2012 IEEE.

关键词： Crystal growth from melt

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二维/三维异质结构的纳米级相管理以实现高效的钙钛矿太阳能电池（英文）

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science Bulletin 2024年第18期 2853-2861页

作者：顾浩朱桉楠夏俊民李旺郑嘉豪杨涛李胜文张楠梅时良蔡永青陈石梁超邢贵川 Joint Key Laboratory of the Ministry of Education Institute of Applied Physics and Materials Engineering University of Macau State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials (IAM) Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM) Nanjing University of Posts & Telecommunications (NUPT) MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter School of Physics National Innovation Platform (Center) for Industry-Education Integration of Energy Storage Technology Xi'an Jiaotong University Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Guangdong Provincial Key Laboratory of Semiconductor Optoelectronic Materials and Intelligent Photonic Systems Harbin Institute of Technology Institute for Electric Light Sources School of Information Science and Technology Fudan University

The stabilization of the formamidinium lead iodide （FAPbⅠ3） structure is pivotal for the development of efficient photovoltaic *** two-dimensional （2D） layers to passivate the threedimensional （3D） perovskite is essential for maintaining the a-phase of FAPb Ⅰ3and enhancing the power conversion efficiency （PCE） of perovskite solar cells （PSCs）.However,the role of bulky ligands in the phase management of 2D perovskites,crucial for the stabilization of FAPbⅠ3,has not yet been *** this study,we synthesized nanoscale 2D perovskite capping crusts with

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The Design of High-temperature Permanent Magnet Synchronous Motor based on Multi-physics Simulation

The Design of High-temperature Permanent Magnet Synchronous ...

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International Conference on Power Electronics and Motion Control (IPEMC)

作者： Yu Gao Zhenyang Hao Qiang Zhou Long Wang Yuqi Jia Wenjun Cui Yuliang Lu College of Automation Nanjing University of Aeronautics and Astronautics Nanjing China The Sixty-third Research Institute National University of Defense Technology Nanjing China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration AVIC Nanjing Engineering Institute of Aircraft System Nanjing China

ISBN: (数字)9781728153018

ISBN: (纸本)9781728153025

The development of power electronics technology has made it possible for all-electric combat vehicle (AECV). The high-voltage power supply system, high-temperature working environment and high power density requirements of AECV bring new challenges to the design of the permanent magnet synchronous motor (PMSM). In this paper, the electromagnetic design and thermal design of PMSM for AECV are taken as the research object. A high-speed PMSM with rated power of 1.5kW and rated speed of 18000r/min is designed. In order to accurately calculate the losses in the PMSM under the space vector pulse width modulation (SVPWM) voltage, this paper uses a multi-physics simulation method. Finally, electromagnetic simulation and thermal simulation of the motor are carried out. The results show that the motor meets the design requirements.

关键词： Space vector pulse width modulation Power system measurements Power supplies Permanent magnet motors Synchronous motors Power electronics Electromagnetics

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Gradient piezoelectric composites for ultrasonic transducer design and imaging applications

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Journal of Materiomics 2025年

作者： Chenxue Hou Zhaoxi Li Chunlong Fei Qibo Lin Xiaofei Luo Xiongwei Wei Yiheng Yang Qi Lu Yi Quan Guangzhi Dong Zeyu Chen Xiaozhou Lü Weimin Bao Yintang Yang Shaanxi Provincial Key Laboratory of Integrated Circuit and System Integration Faculty of Integrated Circuit Xidian University Xi’an 710071 China School of Aerospace Science and Technology Xidian University Xi’an 710071 China State Key Laboratory of Precision Manufacturing for Extreme Service Performance College of Mechanical and Electrical Engineering Central South University Changsha 410083 China College of Automotive and Mechanical Engineering Changsha University of Science and Technology Changsha 410114 China Hunan Province University Key Laboratory of Intelligent Testing and Control Technology for Engineering Equipment Changsha 410114 China School of Advanced Materials and Nanotechnology Xidian University Xi'an 710126 China Furong Laboratory (Precision Medicine) Changsha 410008 China National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology Xiangya Hospital Central South University Changsha 410008 China Hunan Engineering Research Center of Skin Health and Disease Xiangya Hospital Central South University Changsha 410008 China

Ultrasonic imaging technology has advanced rapidly, the escalating demand for imaging quality has driven the continuous development of ultrasonic transducers featuring high-performance. Among them, the crucial factors constraining the further enhancement of imaging quality are the frequency of the device and the intensity of the echo signal. Piezoelectric composites have become a hotspot for ultrasonic transducers and imaging applications due to their excellent properties. However, due to the limitations of the accuracy of the cutting process, the development of piezoelectric/polymer composites is often undermined by undesirable pseudo-vibrations, especially in high-frequency applications, which will significantly reduce energy conversion efficiency. In this study, a novel design method of 1-3 piezoelectric composites with gradient nanoparticle doped polymer is proposed to eliminate the undesired lateral vibrations. Based on the optimized composites, a high-performance composite ultrasonic transducer with a center frequency of 8.51 MHz is prepared. Compared with the traditional composite transducer, the optimized transducer improves the echo voltage amplitude significantly, reaching nearly 3 times. The above advantages are further verified in high-quality ultrasound and photoacoustic imaging. The optimization method has valuable guidance for the design of high-frequency composite transducers, which have great potential in ultrasonic and photoacoustic imaging applications.

关键词： Piezoelectric composites Ultrasonic transducer Imaging applications Lateral vibration Finite element analysis

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Dynamic temperature prediction of electronic equipment under high altitude long endurance conditions

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Chinese Journal of Aeronautics 2018年第6期31卷 1189-1197页

作者： Liping PANG Miao ZHAO Kun LUO Yongli YIN Zhou YUE School of Aeronautic Science and Engineering Beihang University Beijing 100083 China National Key Laboratory of Human Factors Engineering China Astronaut Research and Training Center Beijing 100094 China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration. Nanjing 211102 China

Unmanned Aerial Vehicle（UAV） is developing towards the direction of High Altitude Long Endurance（HALE）. This will have an important influence on the stability of its airborne electronic equipment using passive thermal management. In this paper, a multi-node transient thermal model for airborne electronic equipment is set up based on the thermal network method to predict their dynamic temperature responses under high altitude and long flight time conditions. Some relevant factors are considered into this temperature prediction model including flight environment,radiation, convection, heat conduction, etc. An experimental chamber simulating a high altitude flight environment was set up to survey the dynamic thermal responses of airborne electronic equipment in a UAV. According to the experimental measurement results, the multi-node transient thermal model is verified without consideration of the effects of flight speed. Then, a modified way about outside flight speed is added into the model to improve the temperature prediction performance. Finally, the corresponding simulation code is developed based on the proposed model. It can realize the dynamic temperature prediction of airborne electronic equipment under HALE conditions.

关键词： Airborne electronic equipment High altitude long endurance Multi-node transient thermal model Node thermal network Temperature prediction

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A Novel IMA Resource Configuration Method based on Feature Modeling and Optimization

A Novel IMA Resource Configuration Method based on Feature M...

引用

Electronic Information technology and Computer Engineering (EITCE), International Conference on

作者： Lisong Wang Yang Hong Kui Li Qing Zhou Guoquan Zhang Ming Wang College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing China National Key Laboratory of Science and Technology on Avionics Integration China National Aeronautic Radio Electronics Research Institute Shanghai China

ISBN: (数字)9781728135847

ISBN: (纸本)9781728135854

Integrated Modular avionics (IMA) is the latest generation of avionics systems, with a high level of integration and modularity that make more integrated functions and more sharing of resources. Software product line engineering (SPLE) approaches can reduce the cost associated with developing complex systems like IMA and obtain More IMA configurations which meet user requirements. Feature selection of the feature model resulting from the domain modeling is a key step in obtaining the functionality needed and the characteristics of the user. Due to the high safety requirements of the IMA system, various resident applications need to be provisioned at development time to meet various safety constraints, which makes the feature selection process need to consider the IMA resource configuration constraints. In this paper, by extending the feature model, the feature model can express the information of the software mapping in the IMA resource configuration. We also used the multi-objective genetic algorithm to optimize the functional and non-functional requirements. Moreover, experiments are carried out on different scale models to verify the effectiveness of the method.

关键词： Task analysis Resource management Aerospace electronics Software Hardware Optimization Computational modeling

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Efficient Direct Measurement of Arbitrary Quantum systems via Weak Measurement

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Physical Review Applied 2019年第1期12卷 014045-014045页

作者： Changliang Ren Ya Wang Jiangfeng Du Center for Nanofabrication and System Integration Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing 400714 People’s Republic of China CAS Key Laboratory of Microscale Magnetic Resonance University of Science and Technology of China CAS Key Laboratory of Quantum Information University of Science and Technology of China Hefei National Laboratory for Physical Sciences at the Microscale and Department of Modern Physics University of Science and Technology of China Hefei 230026 China Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China

Obtaining the density matrix that fully describes a quantum system is central to quantum science. Recently, the technique of “direct measurement” has been proposed to characterize a quantum state in situ; however, all the existing schemes require sequential weak and strong measurements, which strongly limits their practical application. Here, we present an efficient scheme for directly measuring arbitrary quantum matrix elements with only one strong measurement or weak measurement on each qudit. Our scheme is experimentally feasible for the direct measurement of arbitrary quantum states; in particular, multiparticle quantum entangled states. This scheme has applications in the characterization of large-scale quantum systems.

关键词： Entanglement measures Quantum tomography Weak values & weak measurements

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All-Electric Aircraft Nose Wheel Steering system with Two Worm Gears

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Transactions of Nanjing University of Aeronautics and Astronautics 2018年第1期35卷 170-180页

作者： Zhang Ming Li Chuang Wu Xin Zhu Yin Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle Nanjing University of Aeronautics&AstronauticsNanjing 210016P.R.China Shanghai Aircraft Design and Research Institute Shanghai 201210P.R.China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing 211106P.R.China

As all-electric aircraft has many advantages,an aircraft nose wheel steering system would be developed to the all-electric *** the control demand of the nose wheel steering system,based on the basic principles of nose wheel steering system and the design technique of mechanotronics,an all-electric aircraft nose wheel steering system,composed of a nose wheel steering mechanism of two worm gear and a control servo system of fly-by-wire with both steering and anti-shimmy functions is designed to meet the demand for operation control in the nose wheel steering ***,based on the LMS-AMESim software,the simulation model of the system is established to simulate the dynamics for the verification of its steering *** simulation results indicate that the nose wheel steering system is reasonable,and can meet the requirements of the general ***,the prototypes of the steering mechanism and control system are studied to validate the design,and the steering test bench is prepared to test the designed *** test results,such as steer angle,rotate speed of motor are analyzed in details and compared with the theoretical *** analysis and comparison results show that the design is reasonable and the property of the prototype can achieve the design objectives.

关键词： mechanotronics design nose wheel steering system all-electric aircraft design landing gear

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Building an efficient intrusion detection system based on feature selection and ensemble classifier

arXiv

引用

arXiv 2019年

作者： Zhou, Yuyang Cheng, Guang Jiang, Shanqing Dai, Mian School of Cyber Science and Engineering Southeast University Nanjing China Key Laboratory of Computer Network and Information Integration Ministry of Education Nanjing China Jiangsu Provincial Key Laboratory of Computer Network Technology Southeast University Nanjing China National Key Laboratory of Science and Technology on Information System Security Beijing China

Intrusion detection system (IDS) is one of extensively used techniques in a network topology to safeguard the integrity and availability of sensitive assets in the protected systems. Although many supervised and unsupervised learning approaches from the field of machine learning have been used to increase the efficacy of IDSs, it is still a problem for existing intrusion detection algorithms to achieve good performance. First, lots of redundant and irrelevant data in high-dimensional datasets interfere with the classification process of an IDS. Second, an individual classifier may not perform well in the detection of each type of attacks. Third, many models are built for stale datasets, making them less adaptable for novel attacks. Thus, we propose a new intrusion detection framework in this paper, and this framework is based on the feature selection and ensemble learning techniques. In the first step, a heuristic algorithm called CFS-BA is proposed for dimensionality reduction, which selects the optimal subset based on the correlation between features. Then, we introduce an ensemble approach that combines C4.5, Random Forest (RF), and Forest by Penalizing Attributes (Forest PA) algorithms. Finally, voting technique is used to combine the probability distributions of the base learners for attack recognition. The experimental results, using NSL-KDD, AWID, and CIC-IDS2017 datasets, reveal that the proposed CFS-BA-Ensemble method is able to exhibit better performance than other related and state of the art approaches under several metrics. Copyright © 2019, The Authors. All rights reserved.

关键词： Data mining

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