Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling 事件

Multimodal Crystal Flow: Any-to-Any Modality Generation for Unified Crystal Modeling arXiv:2602.20210v3 Announce Type: replace-cross Abstract: 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. To address this