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检索条件"机构=National Key Laboratory of Engineering Numerical Simulation Basic Algorithms and Models"
8 条 记 录,以下是1-10 订阅
排序:
The Turbomaster Structured Grid Generation Framework Based on Multi-Block Topology and Elliptic Pde Optimizer
SSRN
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SSRN 2024年
作者: Huang, Longlong Wang, Nianhua Liu, Cheng Si, Songlin Liu, Dong Huang, Siyuan Wang, Jingyu National Key Laboratory of Engineering Numerical Simulation Basic Algorithms and Models Sichuan University Sichuan Chendu China
With the widespread application of numerical simulation in aeroengine, it is crucial to automatically and efficiently generate structured grids for rotating components. Therefore, a comprehensive structured grid autom... 详细信息
来源: 评论
The Turbomaster Structured Grid Generation Framework Based on Multi-Block Topology and Elliptic Pde Optimizer
SSRN
收藏 引用
SSRN 2024年
作者: Huang, Longlong Wang, Nianhua Liu, Cheng Si, Songlin Liu, Dong Huang, Siyuan Wang, Jingyu National Key Laboratory of Engineering Numerical Simulation Basic Algorithms and Models Sichuan University Sichuan Chendu China
With the widespread application of numerical simulation in aeroengine, it is crucial to automatically and efficiently generate structured grids for rotating components. Therefore, a comprehensive structured grid autom... 详细信息
来源: 评论
Cross-View Graph Consistency Learning for Invariant Graph Representations  39
Cross-View Graph Consistency Learning for Invariant Graph Re...
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39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025
作者: Chen, Jie Mao, Hua Woo, Wai Lok Liu, Chuanbin Peng, Xi College of Computer Science Sichuan University China Department of Computer and Information Sciences Northumbria University United Kingdom Center for Scientific Research and Development in Higher Education Institutes Ministry of Education China National Key Laboratory of Fundamental Algorithms and Models for Engineering Numerical Simulation Sichuan University China
Graph representation learning is fundamental for analyzing graph-structured data. Exploring invariant graph representations remains a challenge for most existing graph representation learning methods. In this paper, w...
来源: 评论
LLaVA-ReID: Selective Multi-image Questioner for Interactive Person Re-Identification
arXiv
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arXiv 2025年
作者: Lu, Yiding Yang, Mouxing Peng, Dezhong Hu, Peng Lin, Yijie Peng, Xi College of Computer Science Sichuan University China National Key Laboratory of Fundamental Algorithms and Models for Engineering Numerical Simulation Sichuan University China
Traditional text-based person ReID assumes that person descriptions from witnesses are complete and provided at once. However, in real-world scenarios, such descriptions are often partial or vague. To address this lim...
来源: 评论
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
arXiv
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arXiv 2024年
作者: Li, Boyun Zhao, Haiyu Wang, Wenxin Hu, Peng Gou, Yuanbiao Peng, Xi College of Computer Science Sichuan University China National Key Laboratory of Fundamental Algorithms and Models for Engineering Numerical Simulation Sichuan University China
Recent advancements in Mamba have shown promising results in image restoration. These methods typically flatten 2D images into multiple distinct 1D sequences along rows and columns, process each sequence independently... 详细信息
来源: 评论
A fully differentiable GNN-based PDE Solver: With Applications to Poisson and Navier-Stokes Equations
arXiv
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arXiv 2024年
作者: Li, Tianyu Zou, Yiye Zou, Shufan Chang, Xinghua Zhang, Laiping Deng, Xiaogang National Key Laboratory of Fundamental Algorithms and Models for Engineering Simulation Sichuan University Chengdu610207 China School of Computer Science Sichuan University Chengdu610065 China College of Aerospace Science and Engineering National University of Defense Technology Changsha410000 China Academy of Military Sciences Beijing100190 China
In this study, we present a novel computational framework that integrates the finite volume method with graph neural networks to address the challenges in Physics-Informed Neural Networks(PINNs). Our approach leverage... 详细信息
来源: 评论
numerical Analysis of the Overall Parameters of a Stratospheric Airship Influenced by Solar Array Layout Optimization
SSRN
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SSRN 2024年
作者: Li, Guanxiong He, Cheng Wang, Jingyu National Key Laboratory of Fundamental Algorithms and Models for Engineering Simulation Sichuan University Chengdu610000 China Unmanned Air Vehicle Research Institute Nanjing University of Aeronautics and Astronautics Nanjing210016 China School of Aeronautics and Astronautics Sichuan University Chengdu610000 China
Solar power is a vital energy source for stratospheric airships, and the layout of solar cells significantly influences both their performance and the airship's parameters. A numerical discretization method is emp... 详细信息
来源: 评论
Finite-difference-informed graph network for solving steady-state incompressible flows on block-structured grids
arXiv
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arXiv 2024年
作者: Zou, Yiye Li, Tianyu Lu, Lin Wang, Jingyu Zou, Shufan Zhang, Laiping Deng, Xiaogang School of Computer Science Sichuan University Chengdu610065 China National Key Laboratory of Fundamental Algorithms and Models for Engineering Simulation Sichuan University Chengdu610207 China School of Aeronautics and Astronautics Sichuan University Chengdu610065 China College of Aerospace Science and Engineering National University of Defense Technology Changsha410000 China Academy of Military Sciences Beijing100190 China
Advances in deep learning have enabled physics-informed neural networks to solve partial differential equations. numerical differentiation using the finite-difference (FD) method is efficient in physics-constrained de... 详细信息
来源: 评论