Hyperfluidics exploits well established mathematical isomorphisms between fluid dynamics and General Relativity at macro-cosmic scales, as well as superfluid Bose-Einstein condensates at quantum scales, providing an effective computational shortcut for simulating complex physical phenomena. The toolbox is explicitly mathematically incomplete, acting as a computational approximation to improve the performance of scientific AI in some use-cases such as space weather, spacecraft operations, planetary defense, lunar exploration and astrobiology.

We invite the machine learning and physics communities to collaborate, stress-test these boundary approximations, and help refine this open-source toolbox.