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浏览/检索结果: 共12条，第1-10条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间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 NONLINEAR DYNAMICS, 2024, 页码: 16 作者:  Zhang, Ying;  Jin, Zhengrong;  Wang L(王笼);  Zheng, Kaixin;  Jia, Wantao 收藏  |  浏览/下载：2/0  |  提交时间：2024/02/19 PINNs  Aircraft ground taxiing model  Fokker-Planck equations  Inverse problem   RelaxNet: A structure-preserving neural network to approximate the Boltzmann collision operator 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 490, 页码: 112317 作者:  Xiao TB(肖天白);  Frank, Martin 收藏  |  浏览/下载：11/0  |  提交时间：2023/09/05 Kinetic theory  Computational fluid dynamics  Scientific machine learning  Artificial neural network   A Review of Application of Machine Learning in Storm Surge Problems 期刊论文 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：2/0  |  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 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：7/0  |  提交时间：2023/09/05 Two-phase flow  Capillary pressure curve  Relative permeability curve  Tight sandstone  Physics-informed neural network   Comparative assessment for pressure field reconstruction based on physics-informed neural network 期刊论文 PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 7, 页码: 77116 作者:  Fan, Di;  Xu, Yang;  Wang HP(王洪平);  Wang, Jinjun 收藏  |  浏览/下载：8/0  |  提交时间：2023/09/05 基于物理神经网络的浸入边界方法研究 学位论文 北京: 中国科学院大学, 2023 作者:  黄毅 收藏  |  浏览/下载：10/0  |  提交时间：2023/06/25 物理神经网络，浸入边界方法，钝体绕流，迁移学习   Sparse phase retrieval using a physics-informed neural network for Fourier ptychographic microscopy 期刊论文 OPTICS LETTERS, 2022, 卷号: 47, 期号: 19, 页码: 4909-4912 作者:  Zhang, Z. H. O. N. G. H. U. A.;  Wang, T. I. A. N.;  Feng, S. H. A. O. W. E., I;  Yang, Y. O. N. G. X. I. N.;  Lai, C. H. U. N. H. O. N. G. 收藏  |  浏览/下载：32/0  |  提交时间：2022/11/14 DRVN (deep random vortex network): A new physics-informed machine learning method for simulating and inferring incompressible fluid flows 期刊论文 PHYSICS OF FLUIDS, 2022, 卷号: 34, 期号: 10, 页码: 21 作者:  Zhang, Rui;  Hu, Peiyan;  Meng, Qi;  Wang, Yue;  Zhu, Rongchan 收藏  |  浏览/下载：10/0  |  提交时间：2023/02/07 Physics-informed neural networks for phase-field method in two-phase flow 期刊论文 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：45/0  |  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 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：62/0  |  提交时间：2022/01/27 physics-informed neural networks (PINN)  direct-forcing immersed boundary method  incompressible laminar flow  circular cylinder