机构

• 数学与系统科学研究院 [8]
• 力学研究所 [6]
• 地质与地球物理研究所 [1]

采集方式

• OAI收割 [15]

内容类型

• 期刊论文 [15]

发表日期

• 2024 [1]
• 2023 [3]
• 2022 [6]
• 2021 [5]

学科主题

筛选

浏览/检索结果: 共15条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Stochastic dynamics of aircraft ground taxiing via improved physics-informed neural networks 期刊论文  OAI收割 NONLINEAR DYNAMICS, 2024, 页码: 16 作者:  Zhang, Ying;  Jin, Zhengrong   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/02/19 PINNs  Aircraft ground taxiing model  Fokker-Planck equations  Inverse problem   Adaptive transfer learning for PINN 期刊论文  OAI收割 Journal of Computational Physics, 2023, 卷号: 490, 页码: 1 - 29 作者:  Liu Y(刘洋);  Liu W(刘文);  Yan XS;  Guo SQ(郭帅旗);  Zhang CA(张陈安)   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/08/21 Spatiotemporal parallel physics-informed neural networks: A framework to solve inverse problems in fluid mechanics 期刊论文  OAI收割 PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 6, 页码: 65141 作者:  Xu SF(许盛峰);  Yan C(闫畅);  Zhang, Guangtao;  Sun ZX(孙振旭);  Huang RF(黄仁芳)   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/09/05 Ground-penetrating radar wavefield simulation via physics-informed neural network solver 期刊论文  OAI收割 GEOPHYSICS, 2023, 卷号: 88, 期号: 2, 页码: KS47-KS57 作者:  Zheng, Yikang;  Wang, Yibo   |  收藏  |  浏览/下载：2/0  |  提交时间：2023/12/29 Data-driven rogue waves and parameters discovery in nearly integrable PT-symmetric Gross-Pitaevskii equations via PINNs deep learning 期刊论文  OAI收割 PHYSICA D-NONLINEAR PHENOMENA, 2022, 卷号: 439, 页码: 12 作者:  Zhong, Ming;  Gong, Shibo;  Tian, Shou-Fu;  Yan, Zhenya   |  收藏  |  浏览/下载：14/0  |  提交时间：2023/02/07 GeneralizedGrossPitaevskiiequation  ComplexPT-symmetricpotentials  Physics-informeddeepneuralnetworks  Data-driven rogue waves and parameters discovery discovery   Monte Carlo fPINNs: Deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations 期刊论文  OAI收割 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 卷号: 400, 页码: 17 作者:  Guo, Ling;  Wu, Hao;  Yu, Xiaochen;  Zhou, Tao   |  收藏  |  浏览/下载：33/0  |  提交时间：2023/02/07 Physics -informed neural networks  Fractional Laplacian  Nonlocal operators  Uncertainty quantification   改进的物理融合神经网络在瑞利-泰勒不稳定性问题中的应用 期刊论文  OAI收割 力学学报, 2022, 卷号: 54, 期号: 08, 页码: 2224-2234 作者:  丘润荻;  王静竹;  黄仁芳;  杜特专;  王一伟   |  收藏  |  浏览/下载：33/0  |  提交时间：2022/10/17 瑞利-泰勒不稳定性  深度混合残差方法  物理融合神经网络  两相流   Data-Driven Deep Learning for The Multi-Hump Solitons and Parameters Discovery in NLS Equations with Generalized PT-Scarf-II Potentials 期刊论文  OAI收割 NEURAL PROCESSING LETTERS, 2022, 页码: 19 作者:  Zhong, Ming;  Zhang, Jian-Guo;  Zhou, Zijian;  Tian, Shou-Fu;  Yan, Zhenya   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/02/07 Focusing and defocusing nonlinear Schrodinger equations  Generalized PT-Scarf-II potential  Physics-informed deep neural networks  Data-driven solitons and parameters discovery   Physics-informed neural networks for phase-field method in two-phase flow 期刊论文  OAI收割 PHYSICS OF FLUIDS, 2022, 卷号: 34, 期号: 5, 页码: 15 作者:  Qiu, Rundi;  Huang, Renfang;  Xiao, Yao;  Wang, Jingzhu;  Zhang, Zhen   |  收藏  |  浏览/下载：23/0  |  提交时间：2022/07/18 A Direct-Forcing Immersed Boundary Method for Incompressible Flows Based on Physics-Informed Neural Network 期刊论文  OAI收割 Fluids, 2022, 卷号: 7, 期号: 2, 页码: 56 作者:  Huang Y(黄毅);  Zhang ZY(张治愚);  Zhang X(张星)   |  收藏  |  浏览/下载：24/0  |  提交时间：2022/01/27 physics-informed neural networks (PINN)  direct-forcing immersed boundary method  incompressible laminar flow  circular cylinder