Mdlvzip

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

The core of MDZip is a neural network called a . Mdlvzip

Should I focus more on the side or the biophysics applications? : You can share compact "latent representations" instead

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

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

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

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?