Deep Learning, Fluid Mechanics, Optical Computing, AI, Energy Efficiency.
deep into pure mathematics. One way of viewing PDEs is as a mapping between function spaces. A function representing, for instance, the configuration of a fluid at a given time, is mapped to another function representing its evolution at subsequent times. However, a very recent advance in the field