
Neural reparameterization in latent space significantly improves gradient-free topology optimization efficiency.


coremsg

gradient-free-neural-topology-optimization-bridging-efficiency-gaps


Gradient-Free Neural Topology Optimization: Bridging Efficiency Gaps


title_rewrite


Pre-trained neural reparameterization in latent space significantly improves gradient-free topology optimization efficiency.


gradient-free-neural-topology-optimization-enhancing-efficiency-with-latent-space-reparameterization


Gradient-free Neural Topology Optimization: Enhancing Efficiency with Latent Space Reparameterization


gradient-free-neural-topology-optimization-enhancing-efficiency-with-latent-reparameterization


Gradient-free Neural Topology Optimization: Enhancing Efficiency with Latent Reparameterization



This paper introduces TOPress3D, an open-source MATLAB code for 3D topology optimization of structures subject to design-dependent pressure loads, aiming to provide an accessible and pedagogical tool for students, researchers, and newcomers in the field.


topress3d-an-educational-matlab-code-for-3d-topology-optimization-with-design-dependent-pressure-loads


TOPress3D: An Educational MATLAB Code for 3D Topology Optimization with Design-Dependent Pressure Loads
