Deep Learning, Fluid Mechanics, Optical Computing, AI, Energy Efficiency.
Super-resolution neural network In the previous section, we dealt with the problem of finding the fluid configuration at a later time from some initial condition. This is very useful for determining the way a fluid moves and we can use information like this to, for example, reduce the drag on an