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浏览/检索结果: 共2878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：1/0  |  提交时间：2025/06/27 Physics-informed deep learning  Tunnel  Neural networks  Seepage  Nonhomogeneous porous media   Inverse multi-parameter analysis of oblique incidence laser interaction based on a multivariate thermal-mechanical response 期刊论文  OAI收割 THIN-WALLED STRUCTURES, 2025, 卷号: 210, 页码: 16 作者:  Du WQ(杜文琦);  Ma T(马特);  Lu LL(路玲玲);  Song HW(宋宏伟);  Liu YH(刘赟浩)   |  收藏  |  浏览/下载：16/0  |  提交时间：2025/02/24 Laser identification  Multi-parameter inverse problem solution  Oblique incidence  Multivariate thermal-mechanical response  Physics-guided neural network   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：7/0  |  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   The persistent shadow of the supermassive black hole of M87: II. Model comparisons and theoretical interpretations 期刊论文  OAI收割 ASTRONOMY & ASTROPHYSICS, 2025, 卷号: 693 作者:  Akiyama, The Event Horizon Telescope Collaboration Kazunori;  Albentosa, Ezequiel;  Alberdi, Antxon;  Alef, Walter;  Algaba, Juan Carlos   |  收藏  |  浏览/下载：3/0  |  提交时间：2025/04/28 accretion, accretion disks  black hole physics  gravitation  galaxies: active  galaxies: individual: M87  galaxies: jets   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：9/0  |  提交时间：2024/12/02 Natural convection  Physics-informed neural networks  Parameter-input PINNs  Ra number  Deep learning   Recurring tidal disruption events a decade apart in IRAS F01004-2237 期刊论文  OAI收割 ASTRONOMY & ASTROPHYSICS, 2024, 卷号: 692 作者:  Sun, Luming;  Jiang, Ning;  Dou, Liming;  Shu, Xinwen;  Zhu, Jiazheng   |  收藏  |  浏览/下载：13/0  |  提交时间：2024/12/30 accretion, accretion disks  black hole physics  galaxies: nuclei  galaxies: nuclei   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：11/0  |  提交时间：2024/11/01 Network structure  Parameter-sharing  Feature-enhanced physics-informed neural  networks  Symmetry decomposition   A Compact High-Sensitivity Antenna Sensor Based on Spoof LSPs for Ethanol Sensing 期刊论文  OAI收割 Ieee Sensors Journal, 2024, 卷号: 24, 期号: 24, 页码: 40791-40800 作者:  Chao Zhang;  Yi-Chen Huang;  Pei Xiao;  Zi-Tong Zhao;  Qi Liu   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/06/05 Antenna sensor  ethanol sensing  high sensitivity  miniaturized  spoof  localized surface plasmons (LSPs)  plasmonic resonator  design  Engineering  Instruments & Instrumentation  Physics   Optimizing seismic-based reservoir property prediction: a synthetic data-driven approach using convolutional neural networks and transfer learning with real data integration 期刊论文  OAI收割 ARTIFICIAL INTELLIGENCE REVIEW, 2024, 卷号: 58, 期号: 1, 页码: 27 作者:  Ali, Muhammad;  He, Changxingyue;  Wei, Ning;  Jiang, Ren;  Zhu, Peimin   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/06/27 Optimizing reservoir property  Convolutional neural network  Transfer learning  Synthetic seismic gathers  Pseudo wells  Rock physics model   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：6/0  |  提交时间：2024/11/22 Data assimilation  Wind field reconstruction  Physics-informed deep learning