The author presents a novel approach, Compositional Generative Inverse Design, utilizing diffusion models to optimize complex systems by composing generative energy functions. This method allows for generalization to more complex designs than seen in training data.
CinDM introduces a novel approach to compositional generative inverse design, enabling complex system optimization beyond training data.
Optimizing complex systems through compositional generative inverse design.