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Stability and energetics of two-dimensional surface crystals in liquid AuSi thin films and nanoscale droplets

Physical Review Materials 2021年第7期5卷 074003-074003页

作者： Hailong Wang Mengyuan Wang Alireza Shahabi Alain Karma Moneesh Upmanyu 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 Hefei Anhui 230027 China Group for Simulation and Theory of Atomic-Scale Material Phenomena (stAMP) Department of Mechanical and Industrial Engineering Northeastern University Boston Massachusetts 02115 USA Department of Physics Northeastern University Boston Massachusetts 02115 USA

We employ atomic-scale computational frameworks to study the surface crystallization in AuSi films and droplets as a function of composition, temperature, and size. Above the melting point, the surfaces of both thin films and droplets undergo a first-order transition from a two-dimensional (2D) Au2Si crystalline phase to a laterally disordered yet stratified layer. The thin film surfaces exhibit an effective surface tension that increases with temperature and decreases with Si concentration, while for droplets in the size range 10–30 nm, the bulk Laplace pressure alters the surface segregation as it occurs with respect to a strained bulk. Above the transition, the size effect on the surface tension due to the stratified surface layer is small, while the crystalline surface layer below the transition is strained and composed of 2D crystallites separated by extended grain boundary scars that lead to large fluctuations in its energetics. As a specific application, all-atom simulations of AuSi droplets on Si(111) substrate subject to Si surface flux show that the supersaturation dependent surface tension destabilizes the contact line via formation of a precursor wetting film on the solid-vapor interface and has ramifications for size selection during droplet-catalyzed routes for nanowire growth. Our study sheds light on the interplay between stability and energetics of surfaces in this unique class of binary alloys and offers pathways for exploiting their surface structure for varied applications such as catalytic nanocrystal growth, dealloying, and polymer crystallization.

关键词： Crystal forms Growth Interface & surface thermodynamics Nanocrystals Structural phase transition 2-dimensional systems Surfaces Molecular dynamics

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Scattering Environment Analysis of Quantum Radar for the Typical 2D target

Scattering Environment Analysis of Quantum Radar for the Typ...

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International Conference on Numerical Electromagnetic Modeling and Optimization for RF, Microwave, and Terahertz Applications (NEMO)

作者： Chonghua Fang Shi Xinyang Liu Qifeng Lei Feifei Wang Dongdong Science and Technology on Electromagnetic Compatibility Laboratory China Ship Development and Design Centre Wuhan China Wuhan Maritime Communication Research Institute Wuhan China State Key Laboratory of Power Transmission Equipment and System Security and New Technology School of Electrical Engineering Chongqing University Chongqing China Science and Technology on Electromagnetic Compatibility Laboratory Wuhan Ship Development and Design Institute Co.Ltd Wuhan China

ISBN: (数字)9781728169668

ISBN: (纸本)9781728169675

Quantum radar may become a revolutionary technology in the battlefield of the electromagnetic environment. In this work, we proposed a simulational analysis of the quantum radar scattering environment for the typical 2D target. By following the recent set-up of a principle prototype, we gave the data in both monostatic and bistatic scattering scenarios based on our calculation of the quantum radar cross section. In particular, we used the convenient analysis formulas instead of the traditional numerical algorithm in this simulation. Finally, our results showed that both monostatic and bistatic scattering data are relatively significant so that this set-up of simulation may be useful for the experimental feasibility.

关键词： Two dimensional displays Electromagnetic scattering Prototypes Numerical models Scattering parameters Electromagnetics Quantum radar

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Corrigendum to “Load-bearing behaviors of sandwich plates with non-uniformly distributed grid cores: Dynamic impact and blast” [Mater. Today Commun., vol. 40, (2024), 110163]

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Materials Today Communications 2024年 41卷

作者： Youlong Wang Haixia Yang Jie Chen Quanjin Ma Yiheng Song Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education School of Civil Engineering Southeast University Nanjing 211189 PR China School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen 518055 PR China School of Engineering The University of Tokyo Tokyo 113-8656 Japan

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Current nuclear data needs for applications

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Physical Review Research 2022年第2期4卷 021001-021001页

作者： Karolina Kolos Vladimir Sobes Ramona Vogt Catherine E. Romano Michael S. Smith Lee A. Bernstein David A. Brown Mary T. Burkey Yaron Danon Mohamed A. Elsawi Bethany L. Goldblum Lawrence H. Heilbronn Susan L. Hogle Jesson Hutchinson Ben Loer Elizabeth A. McCutchan Matthew R. Mumpower Ellen M. O'Brien Catherine Percher Patrick N. Peplowski Jennifer J. Ressler Nicolas Schunck Nicholas W. Thompson Andrew S. Voyles William Wieselquist Michael Zerkle Nuclear and Chemical Sciences Division Lawrence Livermore National Laboratory Livermore California 94550 USA Department of Nuclear Engineering University of Tennessee Knoxville Tennessee 37996 USA Department of Physics and Astronomy University of California Davis California 95516 USA IB3 Global Solutions Oak Ridge Tennessee 37830 USA Physics Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA University of California Department of Nuclear Engineering Berkeley California 94720 USA Nuclear Science Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA National Nuclear Data Center Brookhaven National Laboratory Upton New York 11973 USA Design Physics Division Lawrence Livermore National Laboratory Livermore California 94550 USA Rensselaer Polytechnic Institute Department of Mechanical Aerospace and Nuclear Engineering 110 8th Street Troy New York 12180 USA Signature Science and Technology Division Pacific Northwest National Laboratory Richland Washington 99352 USA Xe-Mobile Division X-Energy LLC Rockville Maryland 20852 USA Radioisotope Science and Technology Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA NEN-2 Advanced Nuclear Technology Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Theoretical Division Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Chemistry Division Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Nuclear Criticality Safety Division Lawrence Livermore National Laboratory Livermore California 94550 USA Johns Hopkins University Applied Physics Laboratory Laurel Maryland 20723 USA Nuclear Energy and Fuel Cycle Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA Reactor Technology Department Naval Nuclear Laboratory West Mifflin Pennsylvania 15122 USA

Accurate nuclear data provide an essential foundation for advances in a wide range of fields, including nuclear energy, nuclear safety and security, safeguards, nuclear medicine, and planetary and space exploration. In these and other critical domains, outdated, imprecise, and incomplete nuclear data can hinder progress, limit precision, and compromise safety. Similar nuclear data needs are shared by many applications, thus prioritizing these needs is especially important and urgently needed. Many levels of analysis are required to prepare nuclear measurements for employment in end-user applications. Because research expertise is typically limited to one level, collaboration across organizations and international borders is essential. This perspective piece provides the latest advances in nuclear data for applications and describes an outlook for both near- and long-term progress in the field.

关键词： Nuclear engineering Nuclear reactors Quantum computation Monte Carlo methods Nuclear data analysis & compilation

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Experimental research of jet diameter on heat transfer in a small steel containment

Experimental research of jet diameter on heat transfer in a ...

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2019 Transactions of the American Nuclear Society, ANS 2019

作者： Wang, Shengfei Liu, Yusheng Jiang, Xiaowei Beijing Key Laboratory of Passive Safety Technology for Nuclear Energy North China Electric Power University 2 Beinong Road Changping District Beijing102206 China Nuclear and Radiation Safety Center MEP Beijing100084 China Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu612013 China

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Optimization of Manufacturing Process and Experimental Verification of Vulnerable Part in reactor

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IOP Conference Series: Earth and Environmental science 2020年第1期585卷

作者： Yang Bo Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institution of China Sichuan ChengDu 610041

The technical requirements of the control rod driving mechanism of the third generation PWR nuclear power plant are higher. The latch parts are designed with double tooth structure and welded on the wear-resistant surface by cobalt-based alloy surfacing. According to the structural characteristics and manufacturing process difficulties, a special welding device is developed. According to the test and finite element simulation, the related process parameters are optimized. The trial production of the parts was completed, and the parts were tested by metallography, liquid permeation test, hardness test and thermal life test. The results show that the latch parts have high hardness and wear resistance, and meet the requirements of the driving mechanism operation life of the third generation PWR nuclear power plant.

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A DTW based automatic transient identification method in nuclear power plants

A DTW based automatic transient identification method in nuc...

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2018 Transactions of the American Nuclear Society, ANS 2018 and Embedded Topical Meeting Nuclear Fuels and Structural Materials

作者： Bai, Xiaoming Ai, Honglei Wang, Xinjun Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China No.328 Changshu Avenue Chengdu610213 China

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A DTW based automatic transient identification method in nuclear power plants

A DTW based automatic transient identification method in nuc...

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AISTech 2018 Iron and Steel technology Conference and Exposition

作者： Bai, Xiaoming Ai, Honglei Wang, Xinjun Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China No.328 Changshu Avenue Chengdu610213 China

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Connectors based on 2-way SMA actuator for self-reconfigurable chain robots 15

Connectors based on 2-way SMA actuator for self-reconfigurab...

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15th IEEE International Conference on Mechatronics and Automation, ICMA 2018

作者： Ni, Fenglei Li, Yongqiang Zhou, Yunhu Liu, Hong Tang, Yuan State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin Heilongjiang Province China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China

ISBN: (纸本)9781538660720

Self-reconfigurable modular robots have shown great potential in carrying out multiple tasks in different conditions. A connection of both flexibility and reliability is critical for realizing the docking and transformation of the modular robots. We propose a new design of connectors based on SMA which has the advantages of high autonomy, small size and high speed. The couples of connectors consist of active and passive connector. In the active connector, a two-way rotary SMA actuator is used as the actuation mechanism. The double-layer cam and claws are used as an executive mechanism. The passive connector can be securely docked in five different facets for 3D reconfigurations. The multisensory system and hardware architecture provide the foundation for control strategies. The design and the prototype of the connector are described in this paper. Finally, experimental results to evaluate the performance of docking are presented. © 2018 IEEE.

关键词： Modular robots

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Determining impact parameters of heavy-ion collisions at low-intermediate incident energies using deep learning with convolutional neural network

arXiv

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arXiv 2021年

作者： Zhang, X. Huang, Y. Lin, W. Liu, Xingquan Zheng, H. Wada, R. Bonasera, A. Chen, Z. Chen, L. Han, J. Han, R. Huang, M. Hu, Q. Leng, Q. Ma, C.W. Qu, G. Ren, P. Tian, G. Xu, Z. Yang, Z. Zhang, L. Key Laboratory of Radiation Physics and Technology The Ministry of Education Sichuan University Chengdu610064 China School of Physics and Information Technology Shaanxi Normal University Xi’an710119 China Cyclotron Institute Texas A&M University College StationTX77843 United States Laboratori Nazionali del Sud INFN via Santa Sofia 62 Catania95123 Italy Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China College of Physics and Electronics information Inner Mongolia University for Nationalities Tongliao028000 China School of Physics Henan Normal University Xinxiang453007 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China School of Information Sciences and Engineering Lanzhou University Lanzhou730000 China

A deep learning based method with the convolutional neural network (CNN) algorithm for determining the impact parameters is developed using the constrained molecular dynamics model simulations, focusing on the heavy-ion collisions at the low-intermediate incident energies from several ten to one hundred MeV/nucleon in which the emissions of heavy fragments with the charge numbers larger than 3 become crucial. To make the CNN applicable in the task of the impact parameter determination at the present energy range, specific improvements are made in the input selection, the CNN construction and the CNN training. It is demonstrated from the comparisons of the deep CNN method and the conventional methods with the impact parameter-sensitive observables, that the deep CNN method shows better performance for determining the impact parameters, especially leading to the capability of providing better recognition of the central collision events. With a proper consideration of the experimental filter effect in both training and testing processes to keep consistency with the actual experiments, the good performance of the deep CNN method holds, and shows significantly better in terms of predicting the impact parameters and recognizing the central collision events, compared to that of the conventional methods, demonstrating the superiority of the present deep CNN method. The deep CNN method with the consideration of the filter effect is applied in the deduction of nuclear stopping power. Higher accuracy for the stopping power deduction is achieved benefitting from the better impact parameter determination using the deep CNN method, compared to using the the conventional methods. This result reveals the importance to select a reliable impact parameter determination method in the experimental deduction of the nuclear stopping power as well as other observables. © 2021, CC BY.

关键词： Molecular dynamics

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