OXTAL introduces an all-atom diffusion transformer model that generates organic crystal structures directly from a 2D molecular graph, learning both molecular conformations and periodic packing from over 600,000 experimental structures. The method demonstrates competitive accuracy against traditional DFT-based approaches in CCDC blind tests while offering significantly reduced computational inference costs.
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