IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures
Learning Airfoil Manifolds with Optimal Transport
Inverse Design of 2D Airfoils using Conditional Generative Models and Surrogate Log-Likelihoods
Airfoil Design Parameterization and Optimization using Bézier Generative Adversarial Networks
Data-Driven Geometric Design Space Exploration and Design Synthesis
Synthesizing Designs with Inter-part Dependencies Using Hierarchical Generative Adversarial Networks
Aerodynamic Design Optimization and Shape Exploration using Generative Adversarial Networks
BézierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters
Active Expansion Sampling for Learning Feasible Domains in an Unbounded Input Space
Beyond the Known: Detecting Novel Feasible Domains over an Unbounded Design Space
Design Manifolds Capture the Intrinsic Complexity and Dimension of Design Spaces
How Designs Differ: Non-Linear Embeddings Illuminate Intrinsic Design Complexity