机构

• 力学研究所 [9]
• 数学与系统科学研究院 [6]
• 武汉岩土力学研究所 [2]
• 烟台海岸带研究所 [2]
• 海洋研究所 [1]
• 自动化研究所 [1]
• 更多

采集方式

• OAI收割 [21]

内容类型

• 期刊论文 [20]
• CNKI期刊论文 [1]

发表日期

• 2025 [3]
• 2024 [4]
• 2023 [4]
• 2022 [4]
• 2021 [4]
• 2020 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共21条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Three-dimensional seepage analysis for the tunnel in nonhomogeneous porous media with physics-informed deep learning 期刊论文  OAI收割 ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2025, 卷号: 175, 页码: 12 作者:  Lin, Shan;  Dong, Miao;  Luo, Hongming;  Guo, Hongwei;  Zheng, Hong   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/06/27 Physics-informed deep learning  Tunnel  Neural networks  Seepage  Nonhomogeneous porous media   Knowledge-Based Machine learning for Real-Time rock strength testing while Drilling: Bridging Simulation and Reality 期刊论文  OAI收割 MEASUREMENT, 2025, 卷号: 246, 页码: 17 作者:  Bai, Jun;  Wang, Sheng;  Liu, Liu;  Xu, Zhengxuan;  Li, Shaojun   |  收藏  |  浏览/下载：9/0  |  提交时间：2025/06/27 Intelligent Real-time  In-situ Rock Strength Testing  Physics-Informed Machine Learning  Explainable AI Methods  Multi-Scenario Adaptability   Direct numerical simulation of natural convection based on parameter-input physics-informed neural networks 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2025, 卷号: 236, 页码: 126379 作者:  Ye,Shuran;  Huang JL(黄剑霖);  Zhang, Zhen;  Wang YW(王一伟);  Huang CG(黄晨光)   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/12/02 Natural convection  Physics-informed neural networks  Parameter-input PINNs  Ra number  Deep learning   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：14/0  |  提交时间：2024/11/01 Network structure  Parameter-sharing  Feature-enhanced physics-informed neural  networks  Symmetry decomposition   A framework of data assimilation for wind flow fields by physics-informed neural networks 期刊论文  OAI收割 APPLIED ENERGY, 2024, 卷号: 371, 页码: 18 作者:  Yan C(闫畅);  Xu SF(许盛峰);  Sun ZX(孙振旭);  Lutz, Thorsten;  Guo DL(郭迪龙)   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/11/22 Data assimilation  Wind field reconstruction  Physics-informed deep learning   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;  He, Guowei;  He GW(何国威)   |  收藏  |  浏览/下载：20/0  |  提交时间：2024/10/08 physics-informed neural network (PINN)  singular perturbation  boundary-layer problem  composite asymptotic expansion  O302   Artificial Lateral Line Sensor for Robotic Fish Speed Measurement Based on Surface Flow Field Detection and Turbulence Noise Suppression 期刊论文  OAI收割 IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 页码: 14 作者:  Zhang, Zhuoliang;  Zhou, Chao;  Cheng, Long;  Fan, Junfeng;  Tan, Min   |  收藏  |  浏览/下载：24/0  |  提交时间：2024/09/09 Robot sensing systems  Fish  Robots  Velocity measurement  Noise  Deformation  Calibration  Artificial lateral line  speed of robotic fish  turbulence noise suppression  physics-informed machine learning  flow sensing   A Review of Application of Machine Learning in Storm Surge Problems 期刊论文  OAI收割 JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 9, 页码: 35 作者:  Qin, Yue;  Su, Changyu;  Chu, Dongdong;  Zhang, Jicai;  Song, Jinbao   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/11/02 storm surge prediction  machine learning  hybrid methods  physics-informed neural networks   A Review of Application of Machine Learning in Storm Surge Problems 期刊论文  OAI收割 JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 9, 页码: 35 作者:  Qin, Yue;  Su, Changyu;  Chu, Dongdong;  Zhang, Jicai;  Song, Jinbao   |  收藏  |  浏览/下载：29/0  |  提交时间：2023/11/15 storm surge prediction  machine learning  hybrid methods  physics-informed neural networks   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：26/0  |  提交时间：2023/09/05 Two-phase flow  Capillary pressure curve  Relative permeability curve  Tight sandstone  Physics-informed neural network