Modeling Nonlinear Complex Pdes With Ai: A Physics-Informed Neural Network Tutorial

Modeling Nonlinear Complex PDEs with AI: A Physics-Informed Neural Network (PINN) Tutorial

Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations by Maziar Raissi

MLPS - Combining AI and ML with Physics Sciences

Teaching Neural Network to Solve Navier-Stokes Equations

Computational Domain

DeepXDE: A Deep Learning Library for Solving Differential Equations by Lu Lu

MLPS - Combining AI and ML with Physics Sciences

Scientific Machine Learning: Physics-Informed Neural Networks with Craig Gin

Cambridge University Press

Physics-Informed Neural Networks in Julia

Machine Learning & Simulation

JuliaCon 2020 | Julia for PDEs - Physics Informed Neural Networks for Automated PDE.. | Kirill Zubov

The Julia Programming Language

ETH Zürich DLSC: Physics-Informed Neural Networks - Applications

CAMLab, ETH Zürich

Physics Informed Neural Networks (PINNs): "PyTorch" Solve Physical Systems with Deep Neural Networks

machine decision

Automated Solution of Symbolic Partial Differential Equations via Physics-Informed Neural Networks

The Julia Programming Language

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

Physics Informed Machine Learning

Maziar Raissi: "Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equat..."

Institute for Pure & Applied Mathematics (IPAM)

Physics Informed Neural Networks (PINNs) / Physics Informed Machine Learning

machine decision

DDPS | Non-intrusive reduced order models using physics informed neural networks

Livermore Lab Events

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

Jousef Murad LITE

Easy PINNS with DeepXDE: HEAT Simulation with Deep Neural Networks

machine decision

A Hands-on Introduction to Physics-informed Machine Learning

nanohubtechtalks

Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics by Weiqi Ji

MLPS - Combining AI and ML with Physics Sciences

Matthieu Barreau - Physics-Informed Learning: Using Neural Networks to Solve Differential Equations

Digital Futures: Research Hub for Digitalization

Physics-Informed Neural Networks in JAX (with Equinox & Optax)

Machine Learning & Simulation