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浏览/检索结果: 共3条，第1-3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 Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity 期刊论文 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 46 作者:  Zhang, Lei;  Park, Chanwook;  Lu, Ye;  Li, Hengyang;  Mojumder, Satyajit 收藏  |  浏览/下载：2/0  |  提交时间：2024/01/08 Convolution isogeometric analysis (C-IGA)  Convolution hierarchical deep-learning neural network (C-hiDeNN)  Software 2.0  r-h-p-s-a adaptive finite element method (FEM)  High-order smoothness and convergence   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：10/0  |  提交时间：2023/06/15 Convolution FEM and HiDeNN  Tensor decomposition  Reduced order modeling  Additive manufacturing  High-order smoothness  Isogeometric analysis (IGA)   HiDeNN-TD: Reduced-order hierarchical deep learning neural networks 期刊论文 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 卷号: 389, 页码: 33 作者:  Zhang L(张磊);  Lu, Ye;  Tang, Shaoqiang;  Liu, Wing Kam 收藏  |  浏览/下载：48/0  |  提交时间：2022/02/17 Hierarchical deep-learning neural networks  Proper generalized decomposition  Canonical tensor decomposition  Reduced order finite element method  Convergence study and error bound