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检索条件"机构=Hunan Key Laboratory for Computationand Simulation in Science and Engineering"
423 条 记 录,以下是121-130 订阅
排序:
An Accurate, Robust and Efficient Convection-Pressure Flux Splitting Scheme for Compressible Euler Flows
SSRN
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SSRN 2023年
作者: Hu, Lijun Tan, Shide Li, Long Yuan, Haizhuan School of Mathematics and Statistics Hengyang Normal University Hunan Hengyang421002 China School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Hunan Xiangtan411105 China
The Roe's flux difference splitting scheme has been a popular shock-capturing method in computational fluid dynamics due to its high resolution for various discontinuities. However, it fails to satisfy the entropy... 详细信息
来源: 评论
Paired 2-Disjoint Path Covers of Burnt Pancake Graphs with Faulty Elements
SSRN
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SSRN 2024年
作者: Li, Pingshan Chen, Congzhen Liu, Xianglin Xiangtan University China School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China Key Laboratory of Intelligent Computing & Information Processing of Education China Key Laboratory for Computation and Simulation in Science and Engineering China National Center for Applied Mathematics in Hunan China Guangxi Vocational University of Agriculture Guangxi Nanning530007 China
It is a key issue in parallel processing to find $k$-disjoint paths in the underlying graph of an interconnected network such that these disjoint paths pass through all vertices of the network, this is known as paired... 详细信息
来源: 评论
Two-Relaxation-Time Regularized Lattice Boltzmann Model for Navier-Stokes Equations
SSRN
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SSRN 2024年
作者: Yu, Yuan Qin, Zuojian Gu, Qingqing Chen, Siwei Shu, Shi Yuan, Hai-Zhuan School of Mathematics and Computational Science Xiangtan University Xiangtan411105 China National Center for Applied Mathematics in Hunan Xiangtan411105 China Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Xiangtan411105 China School of Energy and Power Engineering University of Shanghai for Science and Technology Shanghai200093 China
In this paper, we develop a two-relaxation-time regularized lattice Boltzmann (TRT-RLB) model for simulating weakly compressible isothermal flows, which demonstrates superior stability and accuracy over existing model... 详细信息
来源: 评论
Identifying possible lncRNA-disease associations based on deep learning and positive-unlabeled learning
Identifying possible lncRNA-disease associations based on de...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Lihong Peng Liangliang Huang Yuankang Lu Guangyi Liu Min Chen Guosheng Han School of Computer Science Hunan University of Technology Zhuzhou China Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Xiangtan China
lncRNAs are involved in many biological processes, and their mutations and disorders are closely related to many diseases. Identification of LncRNA-Disease Associations (LDAs) helps us understand the pathogenesis of d... 详细信息
来源: 评论
Two-Relaxation-Time Regularized Lattice Boltzmann Model for Navier-Stokes Equations
SSRN
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SSRN 2024年
作者: Yu, Yuan Qin, Zuojian Chen, Siwei Shu, Shi Yuan, Hai-Zhuan aSchool of Mathematics and Computational Science Xiangtan University Xiangtan 411105 China bNational Center for Applied Mathematics in Hunan Xiangtan 411105 China cHunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Xiangtan 411105 China
In this paper, we propose a novel two-relaxation-time regularized lattice Boltzmann (TRTRLB) model for simulating weakly compressible isothermal flows. A free relaxation parameter, τs,2, is employed to relax the regu... 详细信息
来源: 评论
Achieving coherent perfect absorption based on flat-band plasmonic Friedrich-Wintgen BIC in borophene metamaterials
arXiv
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arXiv 2023年
作者: Zhang, Yan-Xi Lin, Qi Yan, Xiao-Qiang Wang, Ling-Ling Liu, Gui-Dong School of Physics and Optoelectronics Xiangtan University Xiangtan411105 China School of Mathematics and Computational Science Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan University Hunan411105 China School of Physics and Electronics Hunan University Changsha410082 China
Many applications involve the phenomenon of a material absorbing electromagnetic radiation. By exploiting wave interference, the efficiency of absorption can be significantly enhanced. Here, we propose Friedrich-Wintg... 详细信息
来源: 评论
FOURIER NEURAL SOLVER FOR LARGE SPARSE LINEAR ALGEBRAIC SYSTEMS
arXiv
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arXiv 2022年
作者: Cui, Chen Jiang, Kai Liu, Yun Shu, Shi Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China
Large sparse linear algebraic systems can be found in a variety of scientific and engineering fields, and many scientists strive to solve them in an efficient and robust manner. In this paper, we propose an interpreta... 详细信息
来源: 评论
γ-DEEPDSM FOR INTERFACE RECONSTRUCTION: OPERATOR LEARNING AND A LEARNING-AUTOMATED FEM PACKAGE
arXiv
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arXiv 2024年
作者: Zheng, Yangyang Wei, Huayi Cao, Shuhao Guo, Ruchi School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan China School of Mathematics and Computational Science Xiangtan University National Center for Applied Mathematics in Hunan Hunan Key Laboratory for Computation and Simulation in Science and Engineering Xiangtan411105 China School of Science and Engineering University of Missouri-Kansas City Kansas CityMO United States School of Mathematics Sichuan University Sichuan Chengdu China
In this work, we propose an Operator Learning (OpL) method for solving boundary value inverse problems in partial differential equations (PDEs), focusing on recovering diffusion coefficients from boundary data. Inspir... 详细信息
来源: 评论
Multitask kernel-learning parameter prediction method for solving time-dependent linear systems
arXiv
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arXiv 2022年
作者: Jiang, Kai Zhang, Juan Zhou, Qi Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Hunan key Laboratory for Computation and Simulation in Science and Engineering School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China
Matrix splitting iteration methods play a vital role in solving large sparse linear systems. Their performance heavily depends on the splitting parameters, however, the approach of selecting optimal splitting paramete... 详细信息
来源: 评论
A general alternating-direction implicit Newton method for solving complex continuous-time algebraic Riccati matrix equation
arXiv
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arXiv 2022年
作者: Li, Shifeng Jiang, Kai Zhang, Juan Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Hunan Key Laboratory for Computation and Simulation in Science and Engineering School of Mathematics and Computational Science Xiangtan University Hunan Xiangtan411105 China
In this paper, applying the Newton method, we transform the complex continuous-time algebraic Riccati matrix equation into a Lyapunov equation. Then, we introduce an efficient general alternating-direction implicit (G... 详细信息
来源: 评论