An Adaptive and Scalable ANN-based Model-Order-Reduction Method for
Large-Scale TO Designs

An Adaptive and Scalable ANN-based Model-Order-Reduction Method for Large-Scale TO Designs

20 March 2022

Dan Xu

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Papers citing "An Adaptive and Scalable ANN-based Model-Order-Reduction Method for Large-Scale TO Designs"

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Title
DeepXDE: A deep learning library for solving differential equations Lu Lu Xuhui Meng Zhiping Mao George Karniadakis PINN AI4CE 99 1,540 0 10 Jul 2019
Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks Zhenguo Nie Haoliang Jiang Levent Burak Kara 35 142 0 27 Aug 2018
Deep learning for determining a near-optimal topological design without any iteration Yonggyun Yu Taeil Hur Jaeho Jung I. Jang 3DV 59 292 0 13 Jan 2018
Neural networks for topology optimization Ivan Sosnovik Ivan Oseledets 63 257 0 27 Sep 2017
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations M. Raissi George Karniadakis AI4CE PINN 78 1,137 0 02 Aug 2017