Fourier Neural Operator (FNO) [Physics Informed Machine Learning]
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company %%% CHAPTERS %%% 00:00 Intro 01:54 Operators as Images, Fourier as Convolution 04:43 Zero-Shot Super Resolution 07:33 Generalizing Neural Operators 09:47 Conditions and Operator Kernels 10:53 Mesh Invariance 12:31 Why Neural Operators // Or Neural operators vs other methods 13:47 Result: Green's Function 15:14 Laplace Neural Operators 17:14 Outro
![Deep Operator Networks (DeepONet) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/CDCyOHXDRcI/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLC6TtYBP2GKRten665w5phcAwvnAA)
▶︎
Deep Operator Networks (DeepONet) [Physics Informed Machine Learning]

▶︎
But what is the Fourier Transform? A visual introduction.

▶︎
CNNs, RNNs, LSTMs & GRUs Explained FAST

▶︎
Fourier Neural Operators (FNO) in JAX
![Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/-zrY7P2dVC4/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAugTiFa0E_5ZUTHW_D0ynJV0Nunw)
▶︎
Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]

▶︎
PINNs vs Neural Operators: Build DeepONet from Scratch

▶︎
Fourier Neural Operator for Parametric Partial Differential Equations (Paper Explained)
![AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]](https://i.ytimg.com/vi/ARMk955pGbg/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLAz4ItioSugyw8A5J3Ywn4rdfT9og)
▶︎
AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]
![Neural ODEs (NODEs) [Physics Informed Machine Learning]](https://i.ytimg.com/vi/nJphsM4obOk/hqdefault.jpg?sqp=-oaymwEjCNACELwBSFryq4qpAxUIARUAAAAAGAElAADIQj0AgKJDeAE=&rs=AOn4CLD-44jNXeOPKolegC63P9KuwaU9VA)
▶︎
Neural ODEs (NODEs) [Physics Informed Machine Learning]

▶︎
But what is a convolution?

▶︎
Physics-Informed AI Series | Scale-consistent Learning with Neural Operators

▶︎
Neural Operators: FNO and DeepONet

▶︎
Simulation By Data ONLY: Fourier Neural Operator (FNO)

▶︎
Anima Anandkumar - Neural operator: A new paradigm for learning PDEs

▶︎
Physics-Informed Neural Networks (PINNs) - An Introduction - Ben Moseley | Jousef Murad

▶︎
Yann LeCun's $1B Bet Against LLMs

▶︎
Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering

▶︎
Zongyi Li: Tutorial on Neural Operators (Tutorial 3)

▶︎
