Research graph
References from Accelerated topology optimization via a deep quantized projector. Local targets link to admitted publications; unresolved targets remain external evidence.
Optimal shape design as a material distribution problem
10.1007/bf01650949 · 1989 · External reference
Topology optimization approaches: a comparative review
10.1007/s00158-013-0978-6 · 2013 · External reference
Pixel-based shape optimization in 3D using constrained density-based topology optimization
2025 · External reference
Density-based topology optimization using a deformable mesh
10.1016/j.compstruc.2025.107879 · 2025 · External reference
Real-time stress-based topology optimization via deep learning
10.1016/j.tws.2022.110055 · 2022 · External reference
Deep learning for determining a near-optimal topological design without any iteration
10.1007/s00158-018-2101-5 · 2019 · External reference
3D topology optimization using convolutional neural networks
2018 · External reference
A physics-informed neural network-based topology optimization (PINNTO) framework for structural optimization
10.1016/j.engstruct.2022.115484 · 2023 · External reference
Machine learning for topology optimization: physics-based learning through an independent training strategy
10.1016/j.cma.2022.115116 · 2022 · External reference
Convolutional neural network-based topology optimization (CNN-TO) by estimating sensitivity of compliance from material distribution
2019 · External reference
On the use of artificial neural networks in topology optimisation
2022 · External reference
An efficient 146-line 3D sensitivity analysis code of stress-based topology optimization written in MATLAB
10.1007/s11081-021-09675-3 · 2022 · External reference
Filters in topology optimization based on Helmholtz-type differential equations
10.1002/nme.3072 · 2011 · External reference
Efficient topology optimization in MATLAB using 88 lines of code
10.1007/s00158-010-0594-7 · 2011 · External reference
TOuNN: topology optimization using neural networks
10.1007/s00158-020-02748-4 · 2021 · External reference
Neural reparameterization improves structural optimization
2019 · External reference
TONR: an exploration for a novel way combining neural network with topology optimization
10.1016/j.cma.2021.114083 · 2021 · External reference
Neural-reparameterized topology optimization using convolutional Kolmogorov-Arnold network for stress minimization
10.1002/nme.70034 · 2025 · External reference
An indirect design representation for topology optimization using variational autoencoder and style transfer
2018 · External reference
A latent space approach to multi-material topology optimization: S. Sridhara et al
10.1007/s00158-025-04225-2 · 2026 · External reference
Physically reliable 3D styled shape generation via structure-aware topology optimization in unified latent space
10.1016/j.cad.2025.103864 · 2025 · External reference
Research on multi-stage topology optimization method based on latent diffusion model
10.1016/j.aei.2024.102966 · 2025 · External reference
Generating diverse high-fidelity images with VQ-VAE-2
2019 · External reference
Neural discrete representation learning
2017 · External reference
Accelerated topology optimization design of 3D structures based on deep learning
10.1007/s00158-022-03194-0 · 2022 · External reference
A deep convolutional neural network for topology optimization with perceptible generalization ability
10.1080/0305215x.2021.1902998 · 2022 · External reference
Structural topology optimization based on deep learning
10.1016/j.jcp.2024.113506 · 2025 · External reference
On projection methods, convergence and robust formulations in topology optimization
10.1007/s00158-010-0602-y · 2011 · External reference
A continuous topology optimization framework using an explicit binarization constraint
10.1016/j.cma.2025.118724 · 2026 · External reference
On multigrid-CG for efficient topology optimization
10.1007/s00158-013-1015-5 · 2014 · External reference
Three-field floating projection topology optimization of continuum structures
10.1016/j.cma.2022.115444 · 2022 · External reference
Filters in topology optimization based on Helmholtz-type differential equations
10.1002/nme.3072 · ExternalCitation · doi-reference
Neural-reparameterized topology optimization using convolutional Kolmogorov-Arnold network for stress minimization
10.1002/nme.70034 · ExternalCitation · doi-reference
Optimal shape design as a material distribution problem
10.1007/bf01650949 · ExternalCitation · doi-reference
Efficient topology optimization in MATLAB using 88 lines of code
10.1007/s00158-010-0594-7 · ExternalCitation · doi-reference
On projection methods, convergence and robust formulations in topology optimization
10.1007/s00158-010-0602-y · ExternalCitation · doi-reference
Topology optimization approaches: a comparative review
10.1007/s00158-013-0978-6 · ExternalCitation · doi-reference
On multigrid-CG for efficient topology optimization
10.1007/s00158-013-1015-5 · ExternalCitation · doi-reference
Deep learning for determining a near-optimal topological design without any iteration
10.1007/s00158-018-2101-5 · ExternalCitation · doi-reference
TOuNN: topology optimization using neural networks
10.1007/s00158-020-02748-4 · ExternalCitation · doi-reference
Accelerated topology optimization design of 3D structures based on deep learning
10.1007/s00158-022-03194-0 · ExternalCitation · doi-reference
A latent space approach to multi-material topology optimization: S. Sridhara et al
10.1007/s00158-025-04225-2 · ExternalCitation · doi-reference
An efficient 146-line 3D sensitivity analysis code of stress-based topology optimization written in MATLAB
10.1007/s11081-021-09675-3 · ExternalCitation · doi-reference
Research on multi-stage topology optimization method based on latent diffusion model
10.1016/j.aei.2024.102966 · ExternalCitation · doi-reference
Physically reliable 3D styled shape generation via structure-aware topology optimization in unified latent space
10.1016/j.cad.2025.103864 · ExternalCitation · doi-reference
TONR: an exploration for a novel way combining neural network with topology optimization
10.1016/j.cma.2021.114083 · ExternalCitation · doi-reference
Machine learning for topology optimization: physics-based learning through an independent training strategy
10.1016/j.cma.2022.115116 · ExternalCitation · doi-reference
Three-field floating projection topology optimization of continuum structures
10.1016/j.cma.2022.115444 · ExternalCitation · doi-reference
A continuous topology optimization framework using an explicit binarization constraint
10.1016/j.cma.2025.118724 · ExternalCitation · doi-reference
Density-based topology optimization using a deformable mesh
10.1016/j.compstruc.2025.107879 · ExternalCitation · doi-reference
A physics-informed neural network-based topology optimization (PINNTO) framework for structural optimization
10.1016/j.engstruct.2022.115484 · ExternalCitation · doi-reference
Structural topology optimization based on deep learning
10.1016/j.jcp.2024.113506 · ExternalCitation · doi-reference
Real-time stress-based topology optimization via deep learning
10.1016/j.tws.2022.110055 · ExternalCitation · doi-reference
A deep convolutional neural network for topology optimization with perceptible generalization ability
10.1080/0305215x.2021.1902998 · ExternalCitation · doi-reference
