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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, ma
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