SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Physical Fields in Metal Forming Numerical Simulation
Author(s) -
Qingfeng Xu,
Zhenguo Nie,
Handing Xu,
Haosu Zhou,
Hamid Reza Attar,
Nan Li,
Fugui Xie,
Xin-Jun Liu
Publication year - 2021
Publication title -
journal of applied mechanics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.69
H-Index - 97
eISSN - 1528-9036
pISSN - 0021-8936
DOI - 10.1115/1.4052195
Subject(s) - finite element method , interpolation (computer graphics) , computer science , boosting (machine learning) , mean squared error , scaling , computational science , algorithm , reduction (mathematics) , mathematics , artificial intelligence , structural engineering , engineering , geometry , statistics , motion (physics)
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