检索结果-内蒙古大学图书馆

IEEE International Conference on high performance computing and Communications (HPCC)

作者： Sen Zhang Xiao-Wei Guo Chao Li Yi Liu Ran Zhao Canqun Yang Institute for Quantum Information & State Key Laboratory of High Performance Computing College of Computer National University of Defense Technology Changsha Hunan P.R. China

ISBN: (纸本)9781728176505

Fluid-structure interaction dynamics under high-explosie detonation is widely used in engineering application, and its numerical simulation is also challenging due to the violent reaction of the blast. Based on the open source software and coupling library, we developed a solver to support the numerical simulation of fluid-structure interaction dynamics under high-explosie detonation, and carried out a case analysis. In the test case, the motion process of perpendicular elastic flap under high-explosive detonation is selected and the simulation time is 5ms. The transient results of the whole simulation process are given. We also tested the case in parallel, using two fluid meshes, that is, 972,000 cells (Mesh I) and 2,405,000 cells (Mesh II), and the scale of structure mesh is 2,000 cells. The results show that in the case of Mesh I, the maximum speedup ratio is 5.47 and the efficiency is 15.71% when the number of processes is 32. In the case of Mesh II, the maximum speedup ratio is 10.91 and the efficiency is 17.05% when the number of processes is 64.

关键词： Couplings Fluid dynamics Scalability Dynamics Numerical simulation Libraries Numerical models

来源：评论

学校读者我要写书评

暂无评论

Variational quantum process tomography

arXiv

引用

arXiv 2021年

作者： Xue, Shichuan Liu, Yong Wang, Yang Zhu, Pingyu Guo, Chu Wu, Junjie Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China College of Information and Communication National University of Defense Technology Xi'an710006 China Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control Ministry of Education Department of Physics Synergetic Innovation Center for Quantum Effects and Applications Hunan Normal University Changsha410081 China

Quantum process tomography is an experimental technique to fully characterize an unknown quantum process. Standard quantum process tomography suffers from exponentially scaling of the number of measurements with the increasing system size. In this work, we put forward a quantum machine learning algorithm which approximately encodes the unknown unitary quantum process into a relatively shallow depth parametric quantum circuit. We demonstrate our method by reconstructing the unitary quantum processes resulting from the quantum Hamiltonian evolution and random quantum circuits up to 8 qubits. Results show that those quantum processes could be reconstructed with high fidelity, while the number of input states required are at least 2 orders of magnitude less than required by the standard quantum process tomography. Copyright © 2021, The Authors. All rights reserved.

关键词： Tomography

来源：评论

学校读者我要写书评

暂无评论

An Identification Method of Image-based for Output Pattern of Metamorphic Relation in Burnup Calculation Program 3

An Identification Method of Image-based for Output Pattern o...

引用

3rd International Academic Exchange Conference on Science and technology Innovation, IAECST 2021

作者： Fu, Shengfu Yang, Xiaohua Li, Meng Wang, Fan Eng. and Technol. Res. Ctr. of Software Eval. and Test. for Intellectual Equipment of Hunan Province Hunan Prov. Hengyang421001 China CNNC Key Laboratory on High Trusted Computing Hunan Prov. Hengyang421001 China School of Computer Science and Technology University of South China Hunan Hengyang421001 China

ISBN: (纸本)9781665402675

It is challenging to verify the design and analysis software adequately for nuclear power areas because of the inflated cost, time-consuming benchmark problems development, and few verification examples. This situation is called the test oracle problem. Metamorphic testing cleverly combines the specific properties of physical equations and numerical algorithms with software verification. Without constructing numerical solutions or verification examples, it verifies the software by checking whether the input and output of multiple executions meet the metamorphic relations. Since metamorphic relation is the nature rules of physical models and numerical algorithms, it is not restricted to specific code implementation technology. Therefore, it is no doubt that metamorphic testing is a promising technique to alleviate the test oracle *** relation is the key to metamorphic testing, which consists of input pattern and output pattern. The former can be obtained through manual analysis by industry experts, while the latter does not have a system identification method. An output pattern identification method based on the solution figure has been introduced here. Specifically, the input pattern is received by artificially analyzing the physical property of the program under test. Next, a group of test inputs has been generated according to such patterns. The calculation results are received after those inputs drive the program. Moreover, the function form of the output pattern is guided by the image of the results. Finally, metamorphic relation is constructed by input pattern and output pattern. For a demonstration of this method's details, a nuclide burnup calculation code is employed here, namely NUIT. By investigating the resulting image of 3820 isotopes, their output pattern classification models have been established according to the burnup depth and nuclide density. It includes four categories and seventeen sub-categories. The verification of other burnup

关键词： Verification

来源：评论

学校读者我要写书评

暂无评论

Static Gesture Recognition and Distance Estimation Using a Capacitive Proximity Sensor Array

SSRN

引用

SSRN 2023年

作者： Ye, Yong Liu, Yuting Du, Chunhui Deng, Jiahao Qiu, Chenguang School of Electronics and Information Engineering The Information Materials and Intelligent Sensing Laboratory of Anhui Province The Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education The Key Laboratory of Electromagnetic Environmental Sensing of Anhui Higher Education Institutes Anhui University No. 111 Jiulong Road Anhui Province Hefei230601 China Institute of high energy physics Chinese academy of sciences The School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China Tai Yuan institute Co. Ltd. of China coal technology and engineering group Shanxi Province Taiyuan030006 China East China Institute of Photo-Electronic IC Jiangsu Province Suzhou215163 China

In this paper, we present a capacitive proximity sensor (CPS) array for static gesture recognition and distance estimation. A 4×4 electrode matrix is employed as the sensing element that is configured to 14 electrode operation patterns to obtain 14 capacitive sensors to percept objects within their sensing region. These 14 capacitances are fused into one feature vector which is used as the input of machine learning (ML) classifier for gesture recognition and neural network or regression model for distance estimation. In our experiments, we selected 10 static gestures to verify the proposed method. We compared the performance of 8 ML classifiers and their variations with training data size. The results show that the Bagging achieves the highest average accuracy of 93.2% and the KNN shows a good performance even with a small training data size. The results in distance estimation experiment demonstrate that the RBF network performs a high accuracy. © 2023, The Authors. All rights reserved.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Mixed Graph-FEM phase field modeling of fracture in plates and shells with nonlinearly elastic solids

引用

Computer Methods in Applied Mechanics and Engineering 2022年 389卷 114282-114282页

作者： Zhang, Gang Guo, Tian Fu Elkhodary, Khalil I. Tang, Shan Guo, Xu School of Mechanical and Electrical Engineering Wuhan Institute of Technology Wuhan 430200 China Failure Mechanics & Engineering Disaster Prevention and Mitigation Key Laboratory of Sichuan Province Sichuan University Chengdu 610065 China Institute of High Performance Computing A*STAR Singapore 138632 Singapore The Department of Mechanical Engineering The American University in Cairo New Cairo 11835 Egypt State Key Laboratory of Structural Analysis for Industrial Equipment Department of Engineering Mechanics Dalian University of Technology Dalian 116023 China International Research Center for Computational Mechanics Dalian University of Technology China

This paper presents a mixed Graph-FEM (Finite Element Method) approach for the phase field modeling of fracture in plates and shells composed of nonlinearly elastic solids. In this approach, the finite element mesh is deemed equivalent to a typical graph in computer science. The equation for phase field evolution is thus discretized by a graph Laplacian on a curved surface. A corresponding solver is herein developed, considering the matrix sparsity of the discretized system, and constraining irreversible phase field variables (to values greater than zero and less than one). An alternating solution strategy between mechanical equilibrium and the phase field equation is proposed. Our method is then applied to the fracture of plates and shells of arbitrary curvature, exhibiting fast convergence and robustness compared with our previous work, as could be concluded from the several numerical benchmarks we performed. This method opens a new way to efficiently model the fracture of plates and shells, while utilizing conventional shell elements. © 2021 Elsevier B.V.

关键词： Differential geometry Fracture Graph Phase field Shell

来源：评论

学校读者我要写书评

暂无评论

Three factors make bulk high-entropy alloys as effective electrocatalysts for oxygen evolution

材料展望（英文）

引用

材料展望（英文） 2023年第4期 110-120页

作者： Tao Zhang Hui-Feng Zhao Ke-Yan Wang Zhen-Jie Chen Li Li Jing Peng Xu Peng Yong-Jiang Huang Hai-Bin Yu Wuhan National High Magnetic Field Center & School of Physics Huazhong University of Science and TechnologyWuhan 430074People's Republic of China School of Materials Science and Engineering Center of Analysis Measurement and ComputingHarbin Institute of TechnologyHarbin 150001People's Republic of China Faculty of Materials Science and Energy Engineering/Institute of Technology for Carbon Neutrality Shenzhen 518055People's Republic of China Shenzhen Key Laboratory of Energy Materials for Carbon Neutrality Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055People's Republic of China College of Chemistry and Chemical Engineering Hubei UniversityWuhan 430062People's Republic of China

Even in their bulk forms,complex alloys like high-entropy alloys(HEAs)exhibit favorable activity and stability as electrocatalysts for the oxygen evolution reaction(OER).However,the underlying reasons are not yet fully *** a family of Mo-doped CrFeCoNi-based HEAs,we have identified three crucial factors that govern their performance:(ⅰ)homogeneous solid solution phase of HEAs helps to maintain high-valence states of metals;(ⅱ)surface reconstruction results in a hybrid material comprising amorphous domains and percolated crystalline structures;(ⅲ)diversity of active intermediate species(M-O,M-OOH,and,notably,the abundance of superoxide μ-OO),which display stronger adsorption capacity on the reconstructed *** results are revealing due to their resemblance to findings in other families of electrocatalysts for OER,as well as their unique features specific to *** line with these factors,a CrFeCoNiMo0.2 bulk integrated electrode displays a low overpotential of 215 mV,rapid kinetics,and long-term stability of over 90 *** HEAs hold great potential for industrial applications.

关键词： high-entropy alloy solid solution electrocatalysis DFT calculation oxygen evolution reaction

来源：评论

学校读者我要写书评

暂无评论

Tuning Ru–O Coordination for Switching Redox Centers in Acidic Oxygen Evolution Electrocatalysis

引用

Angewandte Chemie 2025年

作者： Yajing Mu Jinchang Fan Tianyi Gao Lina Wang Lei Zhang Xiaoxin Zou Weitao Zheng Yong-Wei Zhang Zhi Gen Yu Xiaoqiang Cui School of Materials Science and Engineering Key Laboratory of Automobile Materials of MOE Jilin University Changchun 130012 China State Key Laboratory of Inorganic Synthesis and Preparative Chemistry College of Chemistry Jilin University Changchun 130012 China Institute of High Performance Computing (IHPC) Agency for Science Technology and Research (A*STAR) 1 Fusionopolis Way #16-16 Connexis Singapore 138632 Republic of Singapore

Avoiding lattice oxygen involvement (oxygen redox) while promoting the coupling of adjacent adsorbed oxygen (metal redox) during the acidic oxygen evolution reaction (OER) is essential for gaining high activity and robust stability in RuO 2 -based catalysts but remains elusive. Here, we present a precise strategy to selectively activate the metal redox process while suppressing the undesired oxygen redox pathway by fine-tuning the Ru–O coordination number in amorphous RuO x . The optimized catalyst exhibits outstanding acidic OER performance, achieving a low overpotential of 215 mV at 10 mA cm −2 and maintaining stability for 300 h with a negligible degradation rate of 100 µV h −1 . X-ray absorption measurements and multiple operando spectra reveal that only Ru 2 –O 11 moieties can selectively activate the metal redox process, whereas Ru 2 –O 9 and Ru 2 –O 8 moieties either trigger both redox pathways or bypass them. Theoretical calculations reveal that Ru 2 –O 11 moiety reduces crystal field splitting energy at active Ru sites, disables lattice oxygen activation, and lowers the energy barrier for oxygen coupling. The strategy developed in this work offers new avenues for switching redox centers and refining OER mechanisms to enhance catalytic performance and long-term stability.

关键词： Amorphous structures Coordination number Electrocatalysis Oxygen evolution reaction Ruthenium oxides

来源：评论

学校读者我要写书评

暂无评论

Research on the status of industrial sewage equipment based on clustering ensemble

Research on the status of industrial sewage equipment based ...

引用

International Conference on Computational Science and Computational Intelligence (CSCI)

作者： Qinlu Li Tao Du Rui Zhang Jin Zhou Shouning Qu School of Information Science and Engineering University of Jinan Jinan China Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan China Shandong Management University Jinan China State Key Laboratory of High-end Server and Storage Technology

ISBN: (纸本)9781665458429

The collected industrial data are usually unlabeled, and generally use clustering algorithm for data analysis. However, a single clustering algorithm can not guarantee a good analysis of industrial datasets, and there are many limitations for users. By fusing multiple results obtained by the analysis, clustering ensemble can get more effective results. Therefore, we use density-based selective clustering ensemble method to analysis the collected datasets. The main steps are as follows: (1) use three density based clustering algorithms to analyze the datasets; (2) in order to remove the negative influence of noise, zero the elements in the obtained co-association matrix multiple times, and obtain corresponding results by hierarchical clustering; (3) set the internal validity index to select the best result. Through the experiment and the feedback of relevant factories, the effectiveness of the experiment is proved.

关键词： Data analysis Shape Scientific computing Clustering algorithms Robustness Production facilities Indexes

来源：评论

学校读者我要写书评

暂无评论

Temperature and Defect Effects on the Mechanical Properties of Pentadiamond

SSRN

引用

SSRN 2021年

作者： Qin, Huasong Zhang, Guoqiang Qin, Lang Zhang, Yingyan Liu, Yilun Pei, Qing-Xiang State Key Laboratory for Strength and Vibration of Mechanical Structures School of Aerospace Xi’an Jiaotong University Xi’an710049 China School of Engineering RMIT University BundooraVIC3083 Australia Institute of High Performance Computing A*STAR Singapore138632 Singapore

Pentadiamond is a newly predicted 3D carbon allotrope by first-principles calculations. Using molecular dynamics simulations, we show that pentadiamond can keep structure stable at high temperatures up to 1100 K, but its fracture strength and fracture strain are very sensitive to temperature. As the temperature increases from 100 K to 900 K, the fracture strength and fracture strain decreases by 68.4% and 69.1%, respectively. We also find that the mono-vacancy and di-vacancy related to C2 position lead to stronger reduction in the fracture strength and fracture strain than the atomic vacancies at other positions. To be surprising, the mono-vacancy at C2position has stronger effect than the di-vacancy at C2-C3positions. Besides, we find that hydrogen functionalization has strong effect on the mechanical properties of pentadiamond. As the H-coverage increases from 0.0 to 1.0, the fracture strength and fracture strain drop by 75.7% and 76.6%, respectively. © 2021, The Authors. All rights reserved.

关键词： Carbon

来源：评论

学校读者我要写书评

暂无评论

A Well-Balanced Moving Mesh Discontinuous Galerkin Method for the Ripa Model on Triangular Meshes

SSRN

引用

SSRN 2022年

作者： Huang, Weizhang Li, Ruo Qiu, Jianxian Zhang, Min Department of Mathematics University of Kansas LawrenceKS66045 United States CAPT LMAM School of Mathematical Sciences Peking University Beijing100871 China School of Mathematical Sciences Fujian Provincial Key Laboratory of Mathematical Modeling and High-Performance Scientific Computing Xiamen University Fujian Xiamen361005 China School of Mathematical Sciences Peking University Beijing100871 China

A well-balanced moving mesh discontinuous Galerkin (DG) method is proposed for the numerical solution of the Ripa model – a generalization of the shallow water equations that accounts for effects of water temperature variations. Thermodynamic processes are important particularly in the upper layers of the ocean where the variations of sea surface temperature play a fundamental role in climate change. The well-balance property which requires numerical schemes to preserve the lake-at-rest steady state is crucial to the simulation of perturbation waves over that steady state such as waves on a lake or tsunami waves in the deep ocean. To ensure the well-balance, positivity-preserving, and high-order properties, a DG-interpolation scheme (with or without scaling positivity-preserving limiter) and special treatments pertaining to the Ripa model are employed in the transfer of both the flow variables and bottom topography from the old mesh to the new one and in the TVB limiting process. Mesh adaptivity is realized using an MMPDE moving mesh approach and a metric tensor based on an equilibrium variable and water depth. A motivation is to adapt the mesh according to both the perturbations of the lake-at-rest steady state and the water depth distribution (bottom structure). Numerical examples in one and two dimensions are presented to demonstrate the well-balance, high-order accuracy, and positivity preserving properties of the method and its ability to capture small perturbations of the lake-at-rest steady state. © 2022, The Authors. All rights reserved.

关键词： Lakes

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：