Not logged in.png)
Share.png)
SaveShare Save Share Save Share Save Share Save Share Save Share Save Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity
Zhang, Lei; Park, Chanwook; Lu, Ye; Li, Hengyang; Mojumder, Satyajit; Saha, Sourav; Guo, Jiachen; Li, Yangfan; Abbott, Trevor; Wagner, Gregory J.; Tang, Shaoqiang; Liu, Wing Kam Share Save Share Save Share Save Convolution Hierarchical Deep-learning Neural Networks (C-HiDeNN): finite elements, isogeometric analysis, tensor decomposition, and beyondLu, Ye; Li, Hengyang; Zhang, Lei; Park, Chanwook; Mojumder, Satyajit; Knapik, Stefan; Sang, Zhongsheng; Tang, Shaoqiang; Apley, Daniel W.; Wagner, Gregory J.; Liu, Wing Kam Share Save Convolution Hierarchical Deep-Learning Neural Network Tensor Decomposition (C-HiDeNN-TD) for high-resolution topology optimizationLi, Hengyang; Knapik, Stefan; Li, Yangfan; Park, Chanwook; Guo, Jiachen; Mojumder, Satyajit; Lu, Ye; Chen, Wei; Apley, Daniel W.; Liu, Wing Kam Share Save Share Save Share Save Share Save Next-generation prognosis framework for pediatric spinal deformities using bio-informed deep learning networksTajdari, Mahsa; Tajdari, Farzam; Shirzadian, Pouyan; Pawar, Aishwarya; Wardak, Mirwais; Saha, Sourav; Park, Chanwook; Huysmans, Toon; Song, Yu; Zhang, Yongjie Jessica; Sarwark, John F.; Liu, Wing Kam Share Save Mechanistic artificial intelligence (mechanistic-AI) for modeling, design, and control of advanced manufacturing processes: Current state and perspectivesMozaffar, Mojtaba; Liao, Shuheng; Xie, Xiaoyu; Saha, Sourav; Park, Chanwook; Cao, Jian; Liu, Wing Kam; Gan, Zhengtao Share Save Share Save Share Save Share Save 
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
