Reducing the complexity of chemical networks via interpretable autoencoders

T. Grassi, F. Nauman, J. P. Ramsey +3

In many astrophysical applications, the cost of solving a chemical network represented by a system of ordinary differential equations (ODEs) grows significantly with the size of th…