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Generative Design by Reinforcement Learning: Enhancing the Diversity of
  Topology Optimization Designs

Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs

17 August 2020
Seowoo Jang
Soyoung Yoo
Namwoo Kang
    AI4CE
ArXivPDFHTML

Papers citing "Generative Design by Reinforcement Learning: Enhancing the Diversity of Topology Optimization Designs"

4 / 4 papers shown
Title
DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation
DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation
Soyoung Yoo
Namwoo Kang
32
0
0
15 Apr 2025
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
44
4
0
12 Dec 2023
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude
  of Maximum Stress
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress
S. Shin
Ah-hyeon Jin
Soyoung Yoo
Sunghee Lee
Chang-Gone Kim
S. Heo
Namwoo Kang
24
11
0
03 Oct 2022
Deep Learning-Based Inverse Design for Engineering Systems:
  Multidisciplinary Design Optimization of Automotive Brakes
Deep Learning-Based Inverse Design for Engineering Systems: Multidisciplinary Design Optimization of Automotive Brakes
Seongsin Kim
Min-seok Jwa
Soon-Sik Lee
Sung-Moon Park
Namwoo Kang
AI4CE
24
11
0
27 Feb 2022
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