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papersSEP 10 04:00 UTC

uFlowCSP: Mean Flow Generative Models for Crystal Structure Prediction

Researchers introduce uFlowCSP, a generative approach to crystal structure prediction built on mean flow models. The method addresses a key drawback of diffusion- and flow-matching-based systems, which typically require many iterative sampling steps during inference. The paper situates the work next to existing generative CSP models such as CDVAE, DiffCSP, FlowMM, and CrystalFlow.

CDVAE CrystalFlow DiffCSP FlowMM uFlowCSP crystal structure prediction

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arXiv cs.AIuFlowCSP: Crystal Structure Prediction using Mean flow generative models ↗SEP 10 04:00 UTC

arXiv cs.LGuFlowCSP: Crystal Structure Prediction using Mean flow generative models ↗SEP 10 04:00 UTC