Mdlvzip May 2026

: Unlike generic tools, it trains a dedicated model for each system to maximize efficiency based on that system's unique features. How it Works

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

MD trajectories—simulations of how atoms move in a biological system—often generate terabytes of data. MDZip addresses this by using to achieve over a 95% reduction in file size without losing essential dynamical information. Why Use MDZip? : Unlike generic tools, it trains a dedicated

: You can share compact "latent representations" instead of entire raw trajectories, making collaboration easier. MDZip addresses this by using to achieve over

: The encoder takes the complex atomic positions and maps them into a tiny "bottleneck" size.

: Despite high compression, it preserves ensemble-level features like RMSD fluctuations and radius of gyration.