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浏览/检索结果: 共8条，第1-8条 帮助 限定条件 专题：力学研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序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 Adaptive transfer learning for PINN 期刊论文 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：11/0  |  提交时间：2023/08/21 Graded honeycombs with high impact resistance through machine learning-based optimization 期刊论文 THIN-WALLED STRUCTURES, 2023, 卷号: 188, 页码: 110794 作者:  Gao Y(高洋);  Chen XJ(陈贤佳);  Wei YJ(魏宇杰) 收藏  |  浏览/下载：10/0  |  提交时间：2023/07/17 Graded honeycomb  Impact resistance  Machine learning  Energy absorption  Equal-load-partition   Inelastic N-2+H-2 collisions and quantum-classical rate coefficients: large datasets and machine learning predictions 期刊论文 EUROPEAN PHYSICAL JOURNAL D, 2023, 卷号: 77, 期号: 7, 页码: 128 作者:  Hong QZ(洪启臻);  Storchi, Loriano;  Bartolomei, Massimiliano;  Pirani, Fernando;  Sun QH(孙泉华) 收藏  |  浏览/下载：17/0  |  提交时间：2023/09/05 Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyond 期刊论文 COMPUTATIONAL MECHANICS, 2023 作者:  Lu, Ye;  Li, Hengyang;  Zhang L(张磊);  Park, Chanwook;  Mojumder, Satyajit 收藏  |  浏览/下载：9/0  |  提交时间：2023/06/15 Convolution FEM and HiDeNN  Tensor decomposition  Reduced order modeling  Additive manufacturing  High-order smoothness  Isogeometric analysis (IGA)   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   A flow feature detection method for modeling pressure distribution around a cylinder in non-uniform flows by using a convolutional neural network 期刊论文 SCIENTIFIC REPORTS, 2020, 卷号: 10, 期号: 1, 页码: 10 作者:  Ye SR(叶舒然);  Zhang Z(张珍);  Song XD;  Wang YW(王一伟);  Chen YS 收藏  |  浏览/下载：15/0  |  提交时间：2020/10/29 Subgrid-scale model for large-eddy simulation of isotropic turbulent flows using an artificial neural network 期刊论文 COMPUTERS & FLUIDS, 2019, 卷号: 195, 页码: UNSP 104319 作者:  Zhou ZD(周志登);  He GW(何国威);  Wang SZ(王士召);  Jin GD(晋国栋) 收藏  |  浏览/下载：154/0  |  提交时间：2019/12/17 Machine learning  Artificial neural network  Subgrid-scale model  Large-eddy simulation  Isotropic turbulent flows   Transfer learning for modeling pressure coefficient around cylinder using CNN 会议论文 Honolulu, HI, United states, June 16, 2019 - June 21, 2019 作者:  Ye SR(叶舒然);  Wang YW(王一伟);  Zhang Z(张珍);  Huang CG(黄晨光) 收藏  |  浏览/下载：5/0  |  提交时间：2020/11/20 Convolutional neural networks  Flow field analysis  Pressure prediction  Transfer learning