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?
: Users can select different bottleneck sizes to balance how much space they save versus how accurate the reconstruction is.
: It doesn't need complex physics rules during the compression phase, making it faster and more flexible.
The core of MDZip is a neural network called a .
: Unlike generic tools, it trains a dedicated model for each system to maximize efficiency based on that system's unique features. How it Works
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?
: Users can select different bottleneck sizes to balance how much space they save versus how accurate the reconstruction is. Mdlvzip
: It doesn't need complex physics rules during the compression phase, making it faster and more flexible. MD trajectories—simulations of how atoms move in a
The core of MDZip is a neural network called a . Mdlvzip
: Unlike generic tools, it trains a dedicated model for each system to maximize efficiency based on that system's unique features. How it Works