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2023 International Conference on Computer Applications technology, CCAT 2023

作者： Xiong, Chao Wang, Xin Qiao, Xin Zhou, Zhi Wu, Hexi Ministry of Education Engineering Research Center of Nuclear Technology Application Nanchang China East China University of Technology School of Nuclear Science and Engineering Nanchang China Chengdu University of Technology The College of Nuclear Technology and Automation Engineering Chengdu China

ISBN: (纸本)9798350301540

This paper introduced the K-SVD algorithm of machine learning to Decompose and Reconstruct the airborne radiation data. According to the sparse representation method, the inaccuracy of gridding interpolation due to the mismatch of data dimension was reduced and then a self-adaptive dictionary was constructed via training the original data. After reconstruction by dictionary learning, the increase in terms of two indicators peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) as well as the noise signal extracted which obeyed a stripe-like distribution along the sideline testified that the KSVD encoding learning processing technique had effective results in reconstructing and de-noising airborne radiation data. © 2023 IEEE.

关键词： Signal to noise ratio

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Electron Acceleration and Bunch Generation by Intense Femtosecond Laser Pulse in Preplasma of a Target

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Communications in Theoretical Physics 2010年第8期54卷 359-364页

作者：刘明萍汪庆年邓素辉刘三秋谢柏松 College of Information Engineering Nanchang University Laboratory of Physical Biology Shanghai Institute of Applied PhysicsChinese Academy of Sciences Department of Physics Nanchang University College of Nuclear Science and Technology Beijing Normal University

We present analytical studies of electron acceleration in the low-density preplasma of a thin solid target byan intense femtosecond laser *** in the preplasma are trapped and accelerated by the ponderomotive forceas well as the wake ***-dimensional particle-in-cell simulations show that when the laser pulse is stopped by thetarget,electrons trapped in the laser pules can be extracted and move forward *** energetic electron bunchin the bubble is unaffected by the reflected pulse and passes through the target with small energy spread and *** is an optimal preplasma density for the generation of the monoenergetic electron bunch if a laser pulse is *** maximum electron energy is inverse proportion to the preplasma density.

关键词： femtosecond laser-plasma interaction electron acceleration monoenergetic electron bunch PIC simulation

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Improved FRACS parameterizations for cross sections of isotopes near the proton drip line in projectile fragmentation reactions

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nuclear Science and Techniques 2018年第7期29卷 133-137页

作者： Yi-Dan Song Hui-Ling Wei Chun-Wang Ma Jian-Hua Chen Institute of Particle and Nuclear Physics Henan Normal University Shanghai Institute of Applied Physics Chinese Academy of Sciences College of Information and Electronic Engineering Shangqiu Institute of Technology

The FRACS parameterizations,labeled as FRACS-C,have been improved in order to predict the presence of isotopes near the proton drip line produced in projectile fragmentation *** investigating the cross sections for proton-rich isotopes in a series of reactions with energies ranging from intermediate to relativistic,it is shown that the FRACS-C parameterizations can predict isotopes near the proton drip line considerably *** FRACS-C parameterizations are suggested to serve as an effective tool for predicting the presence of proton-rich isotopes with large asymmetry in a projectile fragmentation *** reactions have been investigated to check these results.

关键词：同位素质子反应破碎射弹滴线不对称现象有效工具

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Evolution of cavities in BCC-Fe with coexisting H and He under fusion environments

arXiv

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arXiv 2025年

作者： Wang, Jin Luo, Fengping Zheng, Tao Zhang, Bowen Liu, Yuxin Chen, Denghuang Xie, Xinyue Chen, Mohan Zhou, Hong-Bo Gao, Fei Xue, Jianming Wang, Yugang Wang, Chenxu State Key Laboratory of Nuclear Physics and Technology Center for Applied Physics and Technology Peking University Beijing100871 China HEDPS College of Engineering School of Physics Peking University Beijing100871 China Department of Physics Beihang University Beijing100191 China Department of Nuclear Engineering and Radiological Science University of Michigan Ann ArborMI48109 United States

In the fusion environment, understanding the synergistic effects of transmutation-produced hydrogen (H), helium (He), and irradiation-induced displacement damage in iron-based alloys is crucial for the development of structural materials for fusion reactors. When H and He atoms are simultaneously introduced into the matrix, the interaction between irradiation-induced cavity defects (voids and bubbles) with H and He, along with their evolutionary behavior remains poorly understood. In this study, the evolutionary behavior of cavities in body-centered cubic (BCC) iron (Fe) with H and He atoms is systematically investigated through a combination of molecular dynamics (MD) calculations and statistical thermodynamics. First, an efficient and suitable set of Fe-H-He ternary potential functions for describing interatomic interactions is established. Based on the newly developed MD model, the evolutionary behavior of H/He atoms and cavities is systematically investigated under various temperature and cavity structure conditions. Specifically, the kinetic process of H/He capture by cavities is elucidated for different scenarios. Additionally, thermodynamic analyses are employed to assess the feasibility of cavity trapping of H under varying conditions. The results exhibit strong consistency with experimental results and provide significant evidence supporting the formation of the core-shell structure (where He is confined at the cavity center while H accumulates at the surface) from both kinetic and thermodynamic perspectives. This work provides mechanistic insights into the nucleation and growth of cavities over extended temporal and spatial scales in the presence of H-He synergies. © 2025, CC BY.

关键词： Diffusion

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Research on Application of Embedded AI in Fall Detection 5

Research on Application of Embedded AI in Fall Detection

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5th International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2024

作者： Liu, Yan Zhu, Xing College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China College of Computers and Cyber Security Chengdu University of Technology Chengdu China

ISBN: (纸本)9798350385557

The traditional elderly fall detection system has some shortcomings, such as high false alarm rate and large delay, which limits its reliability and practicability in practical application. In order to timely and accurately notify the guardian of the old man's fall information, a low-power fall detection system based on em-bedded artificial intelligence is proposed. The system is based on low-power ARM processor, coupled with low-power and small-volume MEMS acceleration sensor. By designing the overall structure of the system, the peripheral circuits of ARM processor and MEMS acceleration sensor, and writing embedded programs and embedded artificial intelligence algorithms, the core functions such as data acquisition, fall identification and fall state transmission are realized. In the experiment, an algorithm model of FDNet (Fall Detection Network) is proposed, and a lot of tests and evaluations are carried out. The experimental results show that the system can achieve 98% accuracy on embedded devices. In addition, the system also shows excellent environmental adaptability, low power consumption and small size, which makes it suitable for fall detection and early warning in various occasions. The successful application of the system is expected to provide effective protection for the health and safety of the elderly. © 2024 IEEE.

关键词： Fall detection

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Boosting the Efficiency and Mechanical Stability of Organic Solar Cells Through a Polymer Acceptor by Reducing the Elastic Modulus

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Advanced Energy Materials 2025年第0期

作者： Wang, Yan Yu, Han Zhao, Dan Liu, Wei Liu, Baoze Wu, Xin Gao, Danpeng Zhang, Dong Zhang, Shoufeng Sun, Xianglang Zhang, Chunlei Zhao, Chaoyue Fu, Yuchen Song, Wei Gong, Shaokuan Fu, Yuang Kwok, Chung Hang Ge, Ziyi Lu, Xinhui Chen, Xihan Xiao, Shuang Wong, Wai-Yeung Chai, Yu Yan, He Zhu, Zonglong Department of Chemistry City University of Hong Kong Kowloon999077 Hong Kong Department of Chemistry Guangdong-Hong Kong-Macao Joint Laboratory of Optoelectronic and Magnetic Functional Materials Energy Institute and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration & Reconstruction Hong Kong University of Science and Technology Clear Water Bay Kowloon999077 Hong Kong Department of Applied Biology and Chemical Technology and Research Institute for Smart Energy The Hong Kong Polytechnic University Hung Hom 999077 Hong Kong Hong Kong University of Science and Technology-Shenzhen Research Institute No. 9 Yuexing 1st RD Hi-tech Park Nanshan Guangdong Shenzhen518057 China School of Automation Engineering University of Electronic Science and Technology of China Sichuan Chengdu611731 China Department of Physics City University of Hong Kong Kowloon999077 Hong Kong Zhejiang Engineering Research Center for Energy Optoelectronic Materials and Devices Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences Ningbo315201 China Shenzhen Key Laboratory of Intelligent Robotics and Flexible Manufacturing Systems SUSTech Energy Institute for Carbon Neutrality Department of Mechanical and Energy Engineering Southern University of Science and Technology Guangdong Shenzhen518055 China Department of Physics The Chinese University of Hong Kong Shatin999077 Hong Kong Center for Advanced Material Diagnostic Technology and College of Engineering Physics Shenzhen Technology University Guangdong Shenzhen518118 China Shenzhen Research Institute City University of Hong Kong Shenzhen518057 China

Organic solar cells (OSCs) are regarded as one of the most promising flexible power sources due to their lightweight and flexible properties, with the improvement of photovoltaic and mechanical performance. To improve the current density and power conversion efficiency (PCE), mPh4F-TS (TS) and PYSe2F-T (PA) are introduced into the binary host, PM6/mPh4F-TT (PM6/TT) as third components. It is demonstrated that the corresponding ternary devices, in both rigid and flexible devices, achieved superior efficiencies (19.6%/17.7% for PM6/TT+TS, and 19.2%/17.4% for PM6/TT+PA) outperform the binary counterparts (18.3%/16.4%). However, distinct differences in mechanical performance are observed between the polymer acceptor (PA) and small-molecular acceptor (TS). The PM6/TT+PA significantly improved the mechanical stability of flexible devices with a lower elastic modulus of 3.6 GPa, while the PM6/TT+TS resulted in the opposite effect with a higher elastic modulus of 5.5 GPa. Through in-depth investigation, a clear correlation between the elastic modulus, crack density, and mechanical stability of the active layer blends is successfully established, revealing the key role of reducing the elastic modulus in enhancing the mechanical stability of flexible OSCs. This study provides important guidance for the development of flexible photovoltaic devices with both high efficiency and mechanical robustness. © 2025 The Author(s). Advanced Energy Materials published by Wiley-VCH GmbH.

关键词： Organic solar cells

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Development of N-doped rGO/NiFe₂O₄ nanocomposite for supercapacitor application

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Journal of the Indian Chemical Society 2025年第6期102卷

作者： Tahir, Kiran Kumar, Abhinav Alsalhi, Sarah A. Makasana, Jayanti M M, Rekha Kumar, G. Senthil Al-Anber, Mohammed A. Das, Sankar Narayan Chaudhary, Rahul Raj Oza, Ankit D. Department of Chemistry Government Graduate College Taunsa Sharif 32100 Pakistan Department of Nuclear and Renewable Energy Ural Federal University Named after the First President of Russia Boris Yeltsin Ekaterinburg 620002 Russian Federation Department of Mechanical Engineering and Renewable Energy Technical Engineering College The Islamic University Najaf Iraq Department of Physics College of Science Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia Marwadi University Research Center Department of Mechanical Engineering Faculty of Engineering & Technology Marwadi University Gujarat Rajkot 360003 India Department of Chemistry and Biochemistry School of Sciences JAIN (Deemed to be University) Karnataka Bangalore India Department of Mechanical Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai India Department of Chemistry Faculty of Sciences Applied Science Private University P.O. Box 166 Amman 11931 Jordan Department of Mechanical Engineering Siksha 'O' Anusandhan (Deemed to be University) Odisha Bhubaneswar 751030 India Department of Mechanical Engineering Chandigarh Engineering College Chandigarh Group of Colleges-Jhanjeri Punjab Mohali 140307 India University Centre for Research and Development Chandigarh University Punjab Mohali 140413 India Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura 140401 India

Efficient and clean energy storing technologies are essential for controlling pollution resulting from the rising consumption of fossil fuels. Nowadays, supercapacitors (SC_s) are gaining significant consideration as energy storing devices. In this work, hydrothermal approach was used to fabricate NiFe₂O₄ (NFO) and N-rGO/NFO nanocomposite. Electrodes were fabricated and underwent electrochemical evaluation utilizing the synthesized nanocomposite materials. At 1 A g⁻¹, N-rGO/NFO demonstrated specific capacitances (C_s) of 1727.81 F g⁻¹. At all current densities (C_d), the N-rGO/NFO nanocomposite surpasses the NFO regarding charge storage capacity. The persistent anchoring of NFO nanoparticles throughout the N-rGO layers and other structural flaws is likely responsible. N-rGO/NFO nanocomposite exhibits significant stability after the 5000^th cycle. © 2025 Indian Chemical Society

关键词： High energy density NiFe2O4 Nitrogen doped rGO Remarkable specific capacitance Supercapacitor

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Phase engineering of Nanomaterials: Metal Nanomaterials

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Chemical Research in Chinese Universities 2025年 1-44页

作者： Chen, Ye Liu, Jiawei Yun, Qinbai Cheng, Hongfei Cui, Xiaoya Fan, Zhanxi Fu, Lei Gao, Chuanbo Ge, Jingjie Ge, Yiyao Guo, Shaojun Han, Sumei Hong, Xun Huang, Bolong Huang, Hongwen Huang, Xiaoqing Liao, Xiaozhou Ling, Chongyi Liu, Dong Lu, Yang Lu, Qipeng Niu, Wenxin Saleem, Faisal Shao, Minhua Shao, Qi Shi, Zhenyu Song, Li Sun, Shouheng Tilley, Richard D. Wang, Deli Wang, An-Liang Wang, Jinlan Xi, Pinxian Xia, Younan Xiong, Yujie Yang, Nailiang Yin, Pengfei Yu, Yifu Zhang, Zhicheng Zhou, Meng Zhu, Ye Zhang, Hua Department of Chemistry The Chinese University of Hong Kong Shatin New Territories 999077 Hong Kong Hong Kong Branch of National Precious Metals Material Engineering Research Center (NPMM) City University of Hong Kong 999077 Hong Kong Department of Chemical and Biological Engineering & Energy Institute The Hong Kong University of Science and Technology 999077 Hong Kong Shanghai Key Laboratory for R & D and Application of Metallic Functional Materials Institute of New Energy for Vehicles School of Materials Science and Engineering Tongji University Shanghai 201804 China Engineering Research Center of Ministry of Education for Geological Carbon Storage and Low Carbon Utilization of Resources School of Materials Science and Technology China University of Geosciences Beijing 100083 China Hebei Key Laboratory of Resource Low-carbon Utilization and New Materials China University of Geosciences Beijing 100083 China Department of Chemistry City University of Hong Kong 999077 Hong Kong Hong Kong Institute for Clean Energy City University of Hong Kong Kowloon 999077 Hong Kong City University of Hong Kong Shenzhen Research Institute Shenzhen 518057 China College of Chemistry and Molecular Sciences Wuhan University Wuhan 430072 China The Institute for Advanced Studies Wuhan University Wuhan 430072 China Sate Key Laboratory of Multiphase Flow in Power Engineering Frontier Institute of Science and Technology Xi’an Jiaotong University Xi’an 710049 China Department of Applied Biology and Chemical Technology The Hong Kong Polytechnic University Hung Hom Kowloon 999077 Hong Kong State Key Laboratory for Advanced Metals and Materials University of Science and Technology Beijing Beijing 100083 China School of Materials Science and Engineering Peking University Beijing 100871 China School of Materials Science and Engineering University of Science and Technology Beijing Beijing 100083 China Center of Advanced Nanocatalysis (CAN) Department of Applied Chemistry Univers

Phase is a fundamental structural parameter that distinguishes the atomic arrangement in materials. The recent advancement in phase engineering of nanomaterials (PEN) has witnessed the discovery and intriguing physicochemical properties of a number of unconventional phases in metal nanomaterials, enabling their promising applications in catalysis, optics, and so on. With the aid of advanced characterization techniques and theoretical calculations, phase engineering of metal nanomaterials has made significant progress in terms of precisely controlled synthesis, phase transformation, and phase-dependent property studies. This review summarizes the recent progress of PEN with a focus on metal nanomaterials. First, we introduce various synthetic strategies to prepare unconventional-phase metal nanomaterials, including monometallic and multimetallic nanomaterials. Second, we discuss methods to realize phase transformation of metallic nanomaterials. Then, we demonstrate various phase-dependent properties and applications of metal nanomaterials. Last, current challenges and exciting opportunities in the phase engineering of metal nanomaterials are discussed. © Jilin University, The Editorial Department of Chemical Research in Chinese Universities and Springer-Verlag GmbH 2025.

关键词： Metal nanomaterial Nanocatalysis Phase engineering of nanomaterial Phase-dependent property Unconventional-phase nanomaterial

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The Research on Earthquake Radon Anomalies

The Research on Earthquake Radon Anomalies

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The 3rd Hydrology,Ocean and Atmosphere Conference(HOAC 2014) & the 4th Conference on New Energy and Sustainable Development(NESD 2014)

作者： Liangquan Ge Jiankun Zhao Yaoyao Luo College of Applied Nuclear Technology and Automation Engineering Chengdu University of Technology

Radon is considered to be one of the most promising gases to predicting the earthquake. The water radon concentration is regular to monitoring indicator. The research on the formation of the earthquake radon anomalies(ERA) will produce great academic value and economic benefits. The ERA in slope-type can be seemed as a response of underground water radon anomalies in the progress of tensile stress accumulating.

关键词： The Earthquake Radon,The Water Radon Anomalies,Earthquake Prediction

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Steering dynamic performance analysis of the tracked mobile robot

Steering dynamic performance analysis of the tracked mobile ...

引用

2018 International Conference on Manufacturing technology, Materials and Chemical engineering, MTMCE 2018

作者： Chen, Z.Y. Chen, G.Z. Qi, L.Z. Yin, F. Li, D.D. Shi, M.J. College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China Library Southwest Minzu University Chengdu China

In order to obtain the relationship and the change regulation of dynamic parameters of the tracked mobile robot in the steering process, the dynamic models under the influence of slip and centrifugal force are established respectively. At the same time, the mathematical expressions of the deflection of the steering center and the pressure on the track are obtained. The relationship of parameters is analyzed by Simulink simulation software and the error of the slip model, the centrifugal force model and the ideal model and is compared. © Published under licence by IOP Publishing Ltd.

关键词： Computer software

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