Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian deep learning [Astronomy]

The goal of generative models is to learn the intricate relations between the data to create new simulated data, but current approaches fail in very high dimensions. When the true data-generating process is based on physical processes, these impose symmetries and constraints, and the generative model can be created by...
Source: Proceedings of the National Academy of Sciences - Category: Science Authors: Tags: Astronomy Physical Sciences Source Type: research