نسخة أولية وصول مفتوح
Riemannian Flow Models with Reinforcement Learning for Molecular Crystal Structure Prediction
Crystal structure governs material properties, making crystal structure prediction (CSP) a fundamental problem in materials science. Generative models are a promising approach for solving this problem, but the prevalence of polymorphism, coupled with large unit cells and complex packing geometry, makes the molecular CS …