Are you saying that computational science boils down to parallel multiplication of arrays? That makes sense to me intuitively, but I’m just checking here.
Two other usage patterns I can think of are large strings processing (think bioinformatics and genetics), and things with neural networks (which to be fair would be a natural fit for Fortran, if the libraries were not mainly developed in C++ and accessed from Python). Still, on the HPC facilities I use, number crunching in large arrays dominates used CPU time, and I would say about half of them are in Fortran.
It’s a shame I never really was in a situation to use it in a real program (also, you had to use PGI, which I have always found sub par), but I have tinkered with it over the years and it is very pleasant to use.