For a sufficiently broad definition of supercomputer, you'd want to add so many other science and engineering simulation problems: fluid dynamics, controlled an

For a sufficiently broad definition of supercomputer, you'd want to add so many other science and engineering simulation problems: fluid dynamics, controlled and uncontrolled combustion, geophysics and seismology, hydrology, structures and finite-element analysis, crowds and swarms, etc. Astrophysics is also a close cousin to nuclear weapons research, simulating high energies and pressures, a mixture of nuclear, chemical, and physical interactions, turbulent fluid dynamics, shock waves, etc. In some sense, we can assume the high end of supercomputing is always applicable to increasing the (spatial or temporal) resolution of any existing grid-based model or the scope/extent of nearly any model (e.g. simulate a larger area/volume/complex structure or system). Another easy way to soak up computational resources is in coupling of models, e.g. combine your weather or simulation with pollutant tracking, ocean current simulation, gas transfer between the ocean and atmosphere, and so on.