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Structural topology optimization, which aims to find the optimal physical structure that maximizes mechanical performance, is vital in engineering design applications in aerospace, mechanical, and civil engineering.
A Novel Topology Optimization Approach using Conditional Deep Learning
Rawat, S.; and Shen, M. H. 2019 · 1901
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Generating optimal topologies in structural design using a homogenization method
Bendsøe, M. P.; and Kikuchi, N. 1988 · 1988
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Generalized shape optimization without homogenization
Rozvany, G. I. N.; Zhou, M.; and Birker, T. 1992 · 1992
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A 99 Line Topology Optimization Code Written in Matlab
Sigmund, O. 2001 · 2001
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On reducing computational effort in topology optimization: how far can we go?
Amir, O.; and Sigmund, O. 2011 · 2011
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Score-Based Generative Modeling through Stochastic Differential Equations
Song, Y.; Sohl-Dickstein, J.; Kingma, D. P.; Kumar, A.; Ermon, S.; and Poole, B. 2020 · 2011
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Constructive solid geometry based topology optimization using evolutionary algorithm
Ahmed, F.; Bhattacharya, B.; and Deb, K. 2013 · 2012
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Topology optimization approaches: A comparative review
Sigmund, O.; and Maute, K. 2013 · 2013
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U-Net: Convolutional Networks for Biomedical Image Segmentation
Ronneberger, O.; Fischer, P.; and Brox, T. 2015 · 2015
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Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Sohl-Dickstein, J.; Weiss, E.; Maheswaranathan, N.; and Ganguli, S. 2015 · 2015
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ToPy - Topology optimization with Python
Hunter, W.; et al. 2017 · 2017
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An Indirect Design Representation for Topology Optimization Using Variational Autoencoder and Style Transfer
Guo, T.; Lohan, D. J.; Cang, R.; Ren, M. Y.; and Allison, J. T. 2018 · 2018
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Investigation into the topology optimization for conductive heat transfer based on deep learning approach
Lin, Q.; Hong, J.; Liu, Z.; Li, B.; and Wang, J. 2018 · 2018
Cited alongside, same era.
Deep learning for determining a near-optimal topological design without any iteration
Yu, Y.; Hur, T.; Jung, J.; and Jang, I. G. 2018 · 2018
Cited alongside, same era.
Non-iterative structural topology optimization using deep learning
Li, B.; Huang, C.; Li, X.; Zheng, S.; and Hong, J. 2019 · 2019
Cited alongside, same era.
Deep Generative Design: Integration of Topology Optimization and Generative Models
Oh, S.; Jung, Y.; Kim, S.; Lee, I.; and Kang, N. 2019 · 2019
Cited alongside, same era.
Topology Design With Conditional Generative Adversarial Networks
Sharpe, C.; and Seepersad, C. C. 2019 · 2019
Cited alongside, same era.
Neural networks for topology optimization
PcDGAN: A Continuous Conditional Diverse Generative Adversarial Network For Inverse Design
Heyrani, A. N.; Chen, W.; and Ahmed, F. 2021 · 2021
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Classifier-Free Diffusion Guidance
Ho, J.; and Salimans, T. 2021 · 2021
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DiffusionCLIP: Text-guided Image Manipulation Using Diffusion Models
Kim, G.; and Ye, J. C. 2021 · 2021
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SDEdit: Image Synthesis and Editing with Stochastic Differential Equations
Meng, C.; Song, Y.; Song, J.; Wu, J.; Zhu, J.; and Ermon, S. 2021 · 2021
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Improved Denoising Diffusion Probabilistic Models
Nichol, A. Q.; and Dhariwal, P. 2021 · 2021
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Sosnovik, I.; and Oseledets, I. 2019 · 2019
Cited alongside, same era.
SolidsPy: 2D-Finite Element Analysis with Python
Guarín-Zapata, N.; and Gómez, J. 2020 · 2020
Cited alongside, same era.
Denoising Diffusion Probabilistic Models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2020
Cited alongside, same era.
SegDiff: Image Segmentation with Diffusion Probabilistic Models
Amit, T.; Nachmani, E.; Shaharabany, T.; and Wolf, L. 2021 · 2021
Cited alongside, same era.
GANTL: Toward Practical and Real-Time Topology Optimization With Conditional Generative Adversarial Networks and Transfer Learning
Behzadi, M. M.; and Ilieş, H. T. 2021 · 2021
Cited alongside, same era.
TOuNN: Topology Optimization Using Neural Networks
Chandrasekhar, A.; and Suresh, K. 2021 · 2021
Cited alongside, same era.
Diffusion Models Beat GANs on Image Synthesis
Dhariwal, P.; and Nichol, A. 2021 · 2021
Cited alongside, same era.
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain
Nie, Z.; Lin, T.; Jiang, H.; and Kara, L. B. 2021 · 2021
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A deep convolutional neural network for topology optimization with perceptible generalization ability
Wang, D.; Xiang, C.; Pan, Y.; Chen, A.; Zhou, X.; and Zhang, Y. 2021 · 2021
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Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling
Ma, H.; Zhang, L.; Zhu, X.; and Feng, J. 2022 · 2022
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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Nichol, A. Q.; Dhariwal, P.; Ramesh, A.; Shyam, P.; Mishkin, P.; McGrew, B.; Sutskever, I.; and Chen, M. 2022 · 2022
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Multi-Head Self-Attention GANs for Multiphysics Topology Optimization
Parrott, C.; Abueidda, D.; and James, K. A. 2022 · 2022
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BIKED: A Dataset for Computational Bicycle Design With Machine Learning Benchmarks
Regenwetter, L.; Curry, B.; and Ahmed, F. 2022 · 2022
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Deep Generative Models in Engineering Design: A Review
Regenwetter, L.; Nobari, A. H.; and Ahmed, F. 2022 · 2022
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