Machine Learning design of Volume of Fluid schemes for compressible flows

• We establish the feasibility of Machine-Learning-designed Volume of Fluid algorithms for compressible flows. • An additivity principle is formulated for the Machine Learning datasets. • We adapt the compressible solver to get the preservation of natural symmetries.