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Convolutional Neural Network-based Topology Optimization (CNN-TO) By
  Estimating Sensitivity of Compliance from Material Distribution

Convolutional Neural Network-based Topology Optimization (CNN-TO) By Estimating Sensitivity of Compliance from Material Distribution

23 December 2019
Yusuke Takahashi
Yoshiro Suzuki
A. Todoroki
ArXiv (abs)PDFHTML

Papers citing "Convolutional Neural Network-based Topology Optimization (CNN-TO) By Estimating Sensitivity of Compliance from Material Distribution"

5 / 5 papers shown
Latent Diffusion Models for Structural Component Design
Latent Diffusion Models for Structural Component Design
Ethan Herron
Jaydeep Rade
Anushrut Jignasu
Baskar Ganapathysubramanian
Aditya Balu
Soumik Sarkar
A. Krishnamurthy
DiffM
252
18
0
20 Sep 2023
Topology Optimization via Machine Learning and Deep Learning: A Review
Topology Optimization via Machine Learning and Deep Learning: A ReviewJournal of Computational Design and Engineering (JCDE), 2022
S. Shin
Dongju Shin
Namwoo Kang
AI4CE
256
131
0
19 Oct 2022
A mechanistic-based data-driven approach to accelerate structural
  topology optimization through finite element convolutional neural network
  (FE-CNN)
A mechanistic-based data-driven approach to accelerate structural topology optimization through finite element convolutional neural network (FE-CNN)
Tianle Yue
Hang Yang
Zongliang Du
Chang Liu
K. Elkhodary
Shan Tang
Xu Guo
AI4CE
82
4
0
25 Jun 2021
Improving Solar Cell Metallization Designs using Convolutional Neural
  Networks
Improving Solar Cell Metallization Designs using Convolutional Neural Networks
Sumit K. Bhattacharya
Devanshu Arya
D. Bhowmick
R. Thomas
D. K. Gupta
91
3
0
08 Apr 2021
Algorithmically-Consistent Deep Learning Frameworks for Structural
  Topology Optimization
Algorithmically-Consistent Deep Learning Frameworks for Structural Topology OptimizationEngineering applications of artificial intelligence (EAAI), 2020
Jaydeep Rade
Aditya Balu
Ethan Herron
Jay Pathak
Rishikesh Ranade
Soumik Sarkar
A. Krishnamurthy
289
49
0
09 Dec 2020
1
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