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Deep learning for determining a near-optimal topological design without
  any iteration

Deep learning for determining a near-optimal topological design without any iteration

13 January 2018
Yonggyun Yu
Taeil Hur
Jaeho Jung
I. Jang
    3DV
ArXivPDFHTML

Papers citing "Deep learning for determining a near-optimal topological design without any iteration"

13 / 13 papers shown
Title
NITO: Neural Implicit Fields for Resolution-free Topology Optimization
NITO: Neural Implicit Fields for Resolution-free Topology Optimization
A. Nobari
Giorgio Giannone
Lyle Regenwetter
Faez Ahmed
AI4CE
30
3
0
07 Feb 2024
Dynamically configured physics-informed neural network in topology
  optimization applications
Dynamically configured physics-informed neural network in topology optimization applications
Ji-Cheng Yin
Ziming Wen
Shuhao Li
Yaya Zhang
Hu Wang
AI4CE
PINN
31
4
0
12 Dec 2023
Topology Optimization using Neural Networks with Conditioning Field
  Initialization for Improved Efficiency
Topology Optimization using Neural Networks with Conditioning Field Initialization for Improved Efficiency
Hongrui Chen
Aditya Joglekar
L. Kara
AI4CE
24
7
0
17 May 2023
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
Salah A. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINN
AI4CE
27
48
0
14 Nov 2022
SELTO: Sample-Efficient Learned Topology Optimization
SELTO: Sample-Efficient Learned Topology Optimization
Sören Dittmer
David Erzmann
Henrik Harms
Peter Maass
29
2
0
12 Sep 2022
Diffusion Models Beat GANs on Topology Optimization
Diffusion Models Beat GANs on Topology Optimization
Franccois Mazé
Faez Ahmed
DiffM
AI4CE
29
57
0
20 Aug 2022
FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced
  Composites using Neural Network
FRC-TOuNN: Topology Optimization of Continuous Fiber Reinforced Composites using Neural Network
A. Chandrasekhar
Amir M. Mirzendehdel
M. Behandish
K. Suresh
31
29
0
07 May 2022
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
Renkai Tan
Chaojun Qian
Dan Xu
Wenjing Ye
AI4CE
13
2
0
20 Mar 2022
Deep Generative Models in Engineering Design: A Review
Deep Generative Models in Engineering Design: A Review
Lyle Regenwetter
A. Nobari
Faez Ahmed
3DV
AI4CE
31
175
0
21 Oct 2021
De-homogenization using Convolutional Neural Networks
De-homogenization using Convolutional Neural Networks
M. O. Elingaard
N. Aage
J. A. Bærentzen
Ole Sigmund
19
23
0
10 May 2021
GANTL: Towards Practical and Real-Time Topology Optimization with
  Conditional GANs and Transfer Learning
GANTL: Towards Practical and Real-Time Topology Optimization with Conditional GANs and Transfer Learning
M. Behzadi
H. Ilies
AI4CE
11
18
0
07 May 2021
Speeding up Computational Morphogenesis with Online Neural Synthetic
  Gradients
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients
Yuyu Zhang
Heng Chi
Binghong Chen
T. Tang
L. Mirabella
Le Song
G. Paulino
AI4CE
27
5
0
25 Apr 2021
Data-driven topology design using a deep generative model
Data-driven topology design using a deep generative model
S. Yamasaki
Kentaro Yaji
K. Fujita
AI4CE
10
27
0
08 Jun 2020
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