GO-Diff: Data-free and amortized global structure optimization

Nikolaj Rønne, Tejs Vegge, Arghya Bhowmik

We introduce GO-Diff, a diffusion-based method for global structure optimization that learns to directly sample low-energy atomic configurations without requiring prior data or exp…