53 citations · 64 across the 3 of their papers we have counts for
4 papers
Topology Optimization through Differentiable Finite Element Solver
Liang Chen, Herman M. H. Shen
In this paper, a topology optimization framework utilizing automatic differentiation is presented as an efficient way for solving 2D density-based topology optimization problem by…
A Novel Topology Optimization Approach using Conditional Deep Learning
Sharad Rawat, M. -H. Herman Shen
In this study, a novel topology optimization approach based on conditional Wasserstein generative adversarial networks (CWGAN) is developed to replicate the conventional topology o…
A New CGAN Technique for Constrained Topology Design Optimization
M. -H. Herman Shen, Liang Chen
This paper presents a new conditional GAN (named convex relaxing CGAN or crCGAN) to replicate the conventional constrained topology optimization algorithms in an extremely effectiv…
A novel topology design approach using an integrated deep learning network architecture
Sharad Rawat, M. H. Herman Shen
Topology design optimization offers tremendous opportunity in design and manufacturing freedoms by designing and producing a part from the ground-up without a meaningful initial de…