Deep Learning, Fluid Mechanics, Optical Computing, AI, Energy Efficiency.
suggests that deep neural networks can perform a task called operator learning. In this approach, rather than starting with the rigorous mathematics of operators and creating a specific system of digital algorithms, the idea is instead to allow a network to learn the association between flow