Yongmin Kwon

Zero-shot rib design: Merging a training-free generative prior with topology optimization

This work treats a frozen text-to-image diffusion model as a training-free source of design knowledge and distills it into the physics loop of density-based topology optimization via score distillation sampling, so that a text prompt becomes an explicit, machine-interpretable representation of engineer intent.