We propose a flexible two-stage MOF generation framework that combines a SMILES-based autoregressive model with a torsion-aware normalizing flow.

We propose MOF-BFN, a structure prediction model for Metal-Organic Frameworks (MOFs) via Bayesian Flow Networks (BFNs).