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Characterization of molten 2LiF–BeF_2 salt impregnated into graphite matrix of fuel elements for thorium molten salt reactor

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Nuclear science and Techniques 2019年第5期30卷 32-39页

作者： Hong-Xia Xu Jun Lin Ya-Juan Zhong Zhi-Yong Zhu Yu Chen Jian-Dang Liu Bang-Jiao Ye Center for Thorium Molten Salt Reactor System Shanghai Institute of Applied PhysicsChinese Academy of Sciences State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China USTC

The impregnation behavior of molten 2LiF–BeF_2(FLiBe) salt into a graphite matrix of fuel elements for a solid fuel thorium molten salt reactor(TMSR-SF) at pressures varying from 0.4 to 1.0 MPa was studied by mercury intrusion, molten salt impregnation, X-ray diffraction, and scanning electron microscopy *** was found that the entrance pore diameter of the graphite matrix is less than 1.0 μm and the contact angle is about 135°. The threshold impregnation pressure was found to be around 0.6 MPa experimentally, consistent with the predicted value of 0.57 MPa by the Washburn equation. With the increase of pressure from 0.6 to 1.0 MPa, the average weight gain of the matrix increased from 3.05 to 10.48%,corresponding to an impregnation volume increase from 2.74 to 9.40%. The diffraction patterns of FLiBe are found in matrices with high impregnation pressures(0.8 MPa and1.0 MPa). The FLiBe with sizes varying from tens of nanometers to a micrometer mainly occupies the open pores in the graphite matrix. The graphite matrix could inhibit the impregnation of the molten salt in the TMSR-SF with a maximum operation pressure of less than 0.5 MPa.

关键词： keywords Molten salt reactor FLiBe Impregnation Graphite matrix

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An Efficient Digital Twin Based on Machine Learning Svd Autoencoder and Generalised Latent Assimilation for Nuclear reactor Physics

SSRN

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SSRN 2022年

作者： Gong, Helin Cheng, Sibo Chen, Zhang Li, Qing Quilodrán-Casas, César Xiao, Dunhui Arcucci, Rossella SJTU-ParisTech Elite Institute of Technology Shanghai 200240 China Data Science Institute Imperial College London LondonSW7 2AZ United Kingdom Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610041 China Faculty of Sciences and Engineering Swansea University SwanseaSA1 8EN United Kingdom Department of Earth Science & Engineering Imperial College London LondonSW7 2AZ United Kingdom

This paper proposes an approach that combines reduced-order models with machine learning in order to create an digital twin to predict the power distribution over the core during the operation stage. The operational digital twin is designed to solve forward problems given input operation parameters, as well as to solve inverse problems given some observations of the power field. The forward model is realised using SVD autoencoder reduced order model and machine learning methods. The inverse model is based on a generalised latent assimilation method. The effectiveness in the sense of accuracy and real-time solver of the digital twin is illustrated through a real engineering problem in nuclear reactor physics - reactor core simulation in the life cycle of HPR1000 affected by control rod inserting step, burnup, power level and inlet temperature of the coolant, which shows potential applications for on-line monitoring purpose. © 2022, The Authors. All rights reserved.

关键词： Inverse problems

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A hybrid mechanism-based and data-driven approach for the calibration of physical properties of Ni-based superalloy GH3128*

A hybrid mechanism-based and data-driven approach for the ca...

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International Conference on Mechatronics and Machine Vision in Practice (M2VIP)

作者： Hao Sun Lin Zhou Shengqiang Zhao Teng Zhang Fangyu Peng Rong Yan National NC System Engineering Research Center School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China Wuhan Digital Design and Manufacturing Innovation Center Co. Ltd China Wuhan China State Key Laboratory of Digital Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781665431545

Within the finite element simulation model of metal manufacturing processes, the setting of physical properties of the materials will significantly affect the final simulation results. In this paper, a hybrid approach to integrate mechanical models and experimental data is proposed to identify the constitutive parameters and tool-chip friction coefficient of superalloy GH3128. Firstly, mechanical model is established and the relation between the constitutive parameters and the measured shear flow stress is determined. Combined with Bayesian inference, the fast inverse identification of the above parameters is realized. Then, a finite element surrogate model and Bayesian framework are fused for calibrating tool-chip friction coefficient. Finally, the effectiveness of the proposed approach is verified through milling experiments. The prediction accuracy of the prediction model are significantly improved by considering the uncertainties of physical properties. The relative error of the model in direction and direction are 11.4681% and 4.2989%, respectively.

关键词： Uncertainty Friction Simulation Metals Milling Predictive models Finite element analysis

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Generative assimilation and prediction for weather and climate

arXiv

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arXiv 2025年

作者： Yang, Shangshang Nai, Congyi Liu, Xinyan Li, Weidong Chao, Jie Wang, Jingnan Wang, Leyi Li, Xichen Chen, Xi Lu, Bo Xiao, Ziniu Boers, Niklas Yuan, Huiling Pan, Baoxiang Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China School of Atmospheric Sciences Key Laboratory of Mesoscale Severe Weather Ministry of Education Nanjing University Nanjing China Earth System Modelling School of Engineering and Design Technical University of Munich Munich Germany Complexity Science Potsdam Institute for Climate Impact Research Potsdam Germany Chinese Academy of Meteorological Sciences Beijing China College of Meteorology and Oceanography National University of Defense Technology Changsha China School of Mathematical Sciences Peking University Beijing China Chongqing Research Institute of Big Data Peking University Chongqing China China Meteorological Administration Key Laboratory for Climate Prediction Studies National Climate Center Beijing China Xiong’an Institute of Meteorological Artificial Intelligence Xiong’an China

Machine learning models have shown great success in predicting weather up to two weeks ahead, outperforming process-based benchmarks [1–4]. However, existing approaches mostly focus on the prediction task, and do not incorporate the necessary data assimilation. Moreover, these models suffer from error accumulation in long roll-outs, limiting their applicability to seasonal predictions [5] or climate projections [6]. Here, we introduce Generative Assimilation and Prediction (GAP), a unified deep generative framework for assimilation and prediction of both weather and climate. By learning to quantify the probabilistic distribution of atmospheric states under observational, predictive, and external forcing constraints, GAP excels in a broad range of weather-climate related tasks, including data assimilation, seamless prediction, and climate simulation. In particular, GAP is competitive with state-of-the-art ensemble assimilation, probabilistic weather forecast and seasonal prediction, yields stable millennial simulations, and reproduces climate variability from daily to decadal time scales. © 2025, CC BY-NC-SA.

关键词： Prediction models

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A Narrow-strip Broadband Microstrip Patch Antenna Based on Conducting Block Transition Fed

A Narrow-strip Broadband Microstrip Patch Antenna Based on C...

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IEEE Information technology, Networking, Electronic and Automation Control Conference

作者： Qiliang Wang Kang Luo Yi Li Jin Meng Fangmin He National Key Laboratory of Science and Technology on Vessel Integrated Power System

ISBN: (数字)9781728143903

ISBN: (纸本)9781728143910

In this paper, a narrow-strip broadband microstrip antenna based on conducting block transition is designed. In order to meet narrow-strip dimensions (width is less than 0.22λ), a feed structure combining conducting block and short probe is applied, which plays a role of transition tuning. The formulas of transmission line mode and Q factor are analyzed to guide antenna design. An impedance bandwidth of 90% (-10dB) and 56% (-16dB) at operating frequency 3.5GHz is obtained. A parametric study of the antenna is described, including the thickness of the air layer, relative position of the feed source and the dimensions of the radiating patch. The antenna without the radiating patch is constructed and studied. By analyzing the current distribution on the patch surface, a anti-symmetric cross-feed structure in the longitudinal direction of the antenna is presented, which effectively improves the cross-polarization in H-plane.

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Task oriented adaptive HUD human reliability analysis

Task oriented adaptive HUD human reliability analysis

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IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Liu Sichen Zhou Lei Liu Liwen Majian Key Laboratory of Avionics System Integrated Technology China Aviation Radio Electronics Research Institute Shanghai China College of Communication and Art Design University of Shanghai for Science and Technology Shanghai China School of Mechanical Engineering Southeast University Jiangning District Nanjing China Ministry of Education Engineering Research Center of New Light Sources Technology and Equipment Southeast University Jiangning District Nanjing China

In this paper, the human factors reliability of standard HUD and adaptive HUD is evaluated by comprehensively using behavioral indicators and physiological indicators. A 3-factor multi-level hybrid experiment (HUD mode mission environment repetition times) was used to explore the load difference and performance difference between adaptive HUD and traditional HUD in different flight stages and different flight duration during flight. The results show that compared with the traditional HUD, the adaptive HUD system can significantly reduce the mental load of pilots in the takeoff and approach landing phases, and in the case of long-term flight, the adaptive HUD system will not cause additional burden to the subjects. keywords: HUD, human reliability, ET, ECG, EEG

关键词： Adaptive systems Smart cities Human factors Electrocardiography Physiology Electroencephalography Behavioral sciences

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Lattice vibrational characteristics,crystal structures and dielectric properties of non-stoichiometric Nd_((1+x))(Mg_(1/2)Sn_(1/2))O_(3) ceramics

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Journal of Materiomics 2020年第3期6卷 476-484页

作者： Zhikai Cao En-Cai Xiao Xue-Hui Li Zhenxing Yue Guohua Chen Ying Chen Kaixin Song Huanfu Zhou Ze-Ming Qi Feng Shi School of Material Science&Engineering Shandong University of Science and TechnologyQingdao266590China College of Arts and Design Shandong Jiaotong UniversityJinan250357China State Key Laboratory of New Ceramics and Fine Processing School of Materials Science and EngineeringTsinghua UniversityBeijing100084China Guangxi Key Laboratory of Information Materials Guilin University of Electronic TechnologyGuilin541004China Key Laboratory of Inorganic Functional Materials and Devices Shanghai Institute of CeramicsChinese Academy of Sciences1295 Dingxi RoadShanghai200050China School of Electronics Information Hangzhou Dianzi UniversityHangzhou310018China Guangxi Ministry-Province Jointly-Constructed Cultivation Base for State Key Laboratory of Processing for Non-ferrous Metal and Featured Materials School of Materials Science and EngineeringGuilin University of TechnologyGuilin541004China National Synchrotron Radiation Laboratory University of Science and Technology of ChinaHefei230029China Key Laboratory of Processing and Testing Technology of Glass&Functional Ceramics of Shandong Province School of Materials Science and EngineeringQilu University of Technology(Shandong Academy of Sciences)Jinan250353China

Non-stoichiometric Nd_((1+x))(Mg_(1/2)Sn_(1/2))O_(3)(-0.04=x≤0.04,NMS)ceramics were fabricated via a conventional solid-state reaction *** structures and morphologies were investigated by Xray diffraction(XRD)and scanning electron microscopy(SEM),*** main crystalline phase is monoclinic Nd(Mg_(1/2)Sn_(1/2))O_(3) with a double perovskite structure(P21/n space group)for the NMS system proved by *** sample at x=0.01 has the best crystallinity and evenly distributed crystal grains observed by *** optimum performances(ε_(r)=19.87,Q×f=41840 GHz,f=12.05 GHz)are obtained at x=*** vibrational modes of the Raman spectra were assigned and illustrated,in *** dielectric properties obtained by fitting infrared reflectance spectra with the help of four-parameter semi-quantum model are consistent with the calculated values by microscopic polarization and damping *** reverse translational vibration of the NdeMgO_(6),the F_(5u)^((5)) mode,provides the greatest contribution to the dielectric *** relationships between crystal structures and dielectric properties were mainly established using lattice vibrational modes as a media.

关键词： Microwave dielectric ceramics Non-stoichiometric Lattice vibrational characteristics Crystal structures Dielectric properties

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A Predictive Method for Switching Time of Nanosecond Pulsed Power system of Ohmic Loads Using SiC MOSFETs

A Predictive Method for Switching Time of Nanosecond Pulsed ...

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Workshop on Wide Bandgap Power Devices and Applications in Asia (WiPDA Asia)

作者： Yifei Luo Xin Li Fei Xiao Zenan Shi Ruitian Wang Feng Xie National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China State Key Laboratory of Electrical Insulation and Power Equipment Xi'an Jiaotong University Xi'an China

ISBN: (纸本)9781665448178

In this paper, a predictive method for accurately determining the switching time of nanosecond pulsed power system is proposed, which is important to evaluate and better design higher-grade pulse power system. Compared to the traditional predictive method of switching time, the ohmic loads and nonlinearity of capacitances are considered in the proposed method. In detail, the expressions of the switching time are deduced, in which, the main parasitic elements affecting the switching transient are considered. In order to verify the validity of the method, an ohmic-load double pulse circuit is established. The experimental device is a CREE SiC MOSFET module CAS325M12HM2 (1200V/325A). The predictive results of the proposed method are compared with experiments and the traditional predictive method under different voltages and currents. The comparison results show that the proposed method has a good agreement with experiments and has better predictive accuracy than the traditional method, which verifies the effectiveness and accuracy. The method of prediction the switching time of nanosecond pulsed power system of ohmic loads using SiC MOSFETs offers a theoretical reference to evaluate and improve pulse power systems.

关键词： MOSFET Silicon carbide Asia Switches Prediction methods Capacitance Pulse circuits

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Towards Secure Semantic Transmission In the Era of GenAI: A Diffusion-based Framework

arXiv

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arXiv 2025年

作者： He, Boxiang Chen, Zihan Luo, Junshan Liu, Chuanhong Wang, Shilian Wang, Fanggang Quek, Tony Q.S. College of Electronic Science and Technology National University of Defense Technology Changsha410073 China Information Systems Technology and Design Singapore University of Technology and Design Singapore Beijing Key Laboratory of Network System Architecture and Convergence School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China

Semantic communication, due to its focus on the transmitting meaning rather than the raw bit data, poses unique security challenges compared to the traditional communication systems. In particular, semantic communication systems are vulnerable to the malicious attacks that focus on the semantic layer, with the intention of understanding or distorting the intended meaning of the transmitted privacy data. Diffusion models, a class of generative artificial intelligence (GenAI), are well-suited for ensuring data security to attack. Through iteratively adding and then removing noise, diffusion models can generate meaningful information despite the presence of the unknown noise. This article proposes a diffusion-based framework to enhance the security of semantic transmission for the attacks including eavesdropping and jamming. Specifically, the proposed framework incorporates both the artificial noise and natural channel noise into the forward process of the diffusion models during the semantic transmission, with the reverse process used to remove noise at the legitimate receiver. In the eavesdropping scenarios, the artificial noise is the friendly noise designed to prevent semantic eavesdropping. In the jamming scenarios, the artificial noise is the malicious jamming generated by the jammer, which disrupts the semantic transmission. The case studies show that the proposed diffusion-based framework is promising in securing the semantic transmission. We also consolidate several broad research directions associated with the proposed framework. Copyright © 2025, The Authors. All rights reserved.

关键词： Electroosmosis

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Emergent grain boundary phases in stressed polycrystalline thin films

arXiv

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arXiv 2022年

作者： Wang, Mengyuan Yan, Ruilin Han, Xiao Wang, Hailong Upmanyu, Moneesh CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern Mechanics CAS Center for Excellence in Complex System Mechanics University of Science and Technology of China Anhui Hefei230027 China Department of Mechanical and Industrial Engineering Northeastern University BostonMA02115 United States

The grain boundary (GB) microstructure influences and is influenced by the development of residual stresses during synthesis of polycrystalline thin films. Recent studies have shown that the frustration between the preferred growth direction and rotations of abutting crystals to local cusps in GB energies leads to internal stresses localized within nanoscopic surface layers around the valleys and ridges that form at emergent boundaries (eGBs). Using a combination of continuum frameworks, numerical analyses and all-atom simulations of bicrystal h111i copper films, we show that eGBs tune their surface morphology and rotation extent in response to external strains. Compression favors rotation to and growth of low energy GB phases (complexions) at eGB valleys while tension favors the transitions at eGB ridges, a reflection of the stress-induced mass efflux/influx that changes the energetic balance between interfacial and deformation energies. Molecular dynamics simulations of strained and growing bicrystal films reveal that the eGB phase transition is coupled to island formation at the surface triple junctions, providing a direct link between eGB phases and surface step flow. The interplay between eGB structure, morphology and mechanics emerges as a crucial ingredient for predictive understanding of stress and morphological evolution during film growth, with broad implications for multifunctional response of polycrystalline surfaces in a diverse range of surface phenomena such as surface mediated deformation, interfacial embrittlement, thermal grooving, stress corrosion, surface catalysis and topological conduction. © 2022, CC BY.

关键词： Residual stresses

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