Mdlvzip Apr 2026

: Users can select different bottleneck sizes to balance how much space they save versus how accurate the reconstruction is.

MDZip (often stylized as ) is a neural compression framework designed to handle the massive data storage demands of molecular dynamics (MD) trajectories. Mdlvzip

: Despite high compression, it preserves ensemble-level features like RMSD fluctuations and radius of gyration. : Users can select different bottleneck sizes to

: Only the compressed latent data and the trained model weights need to be stored. making collaboration easier.

: You can share compact "latent representations" instead of entire raw trajectories, making collaboration easier.