中国科学院机构知识库网格系统: 检索

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	AsPINN: Adaptive symmetry-recomposition physics-informed neural networks 期刊论文 OAI收割 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 卷号: 432, 页码: 34 作者: Liu ZT(刘子提); Liu Y(刘洋); Yan, Xunshi; Liu W(刘文); Guo SQ(郭帅旗) \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2024/11/01 Network structure Parameter-sharing Feature-enhanced physics-informed neural networks Symmetry decomposition
	Chien-physics-informed neural networks for solving singularly perturbed boundary-layer problems 期刊论文 OAI收割 APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2024, 卷号: 45, 期号: 9, 页码: 1467-1480 作者: Wang, Long; Zhang, Lei \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2024/10/08 physics-informed neural network (PINN) singular perturbation boundary-layer problem composite asymptotic expansion O302
	Rapid evaluation of capillary pressure and relative permeability for oil-water flow in tight sandstone based on a physics-informed neural network 期刊论文 OAI收割 JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, 2023 作者: Ji LL(姬莉莉); Xu, Fengyang; Lin M(林缅); Jiang WB(江文滨); Cao GH(曹高辉) \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2023/09/05 Two-phase flow Capillary pressure curve Relative permeability curve Tight sandstone Physics-informed neural network
	A practical approach to flow field reconstruction with sparse or incomplete data through physics informed neural network 期刊论文 OAI收割 ACTA MECHANICA SINICA, 2023, 卷号: 39, 期号: 3, 页码: 322302 作者: Xu SF(许盛峰); Sun ZX(孙振旭); Huang RF(黄仁芳); Guo DL(郭迪龙); Yang GW(杨国伟) \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2023/04/20 Physics informed neural network Flow field reconstruction Particle image velocimetry Cosine annealing algorithm Experimental fluid dynamics
	Energy performance prediction of the centrifugal pumps by using a hybrid neural network 期刊论文 OAI收割 Energy, 2020, 卷号: 213, 页码: 119005 作者: Huang RF(黄仁芳); Zhang Z(张珍); Zhang W; Mou JG; Zhou PJ \| 收藏 \| 浏览/下载：64/0 \| 提交时间：2021/01/29 Centrifugal pump Energy performance Loss model Physics-informed neural network