Using machine learning to speed up simulations of irregularly shaped particles

Simulating particles is a relatively simple task when those particles are spherical. In the real world, however, most particles are not perfect spheres but take on irregular and varying shapes and sizes. Simulating these particles becomes a much more challenging and time-consuming task.