AI RESEARCH
Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling
arXiv CS.AI
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ArXi:2602.20210v2 Announce Type: replace-cross Crystal modeling spans a family of conditional and unconditional generation tasks, including crystal structure prediction (CSP) and de novo generation (DNG). While recent deep generative models have shown promising performance, they remain largely task-specific, lacking a unified framework that shares crystal representations across tasks.