Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
-
Updated
Jun 19, 2024 - Python
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
Repositorio con el material para el taller sobre PINNs en MAPI-3 2024
Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks
Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs with JAX 📓 Check out our various notebooks to get started
Replication with PyTorch of ''Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations'' by M. Raissi, P. Perdikaris, and G.E. Karniadakis from 2019.
Material to learn about PINNs, a machine learning technique that combines neural networks with physical insights. PINNs are particularly useful for solving physics and engineering problems with limited or expensive data.
PINNs/FDM for 1D/2D heat and burgers equations
This is a repository for CS4ML. It is a general framework for active learning in regression problems. It approximates a target function arising from general types of data, rather than pointwise samples.
Colección de trabajos asociados al ramo con el nombre del repositorio dictado por la Escuela de Ingeniería de la Universidad de Chile.
iHealth workshop about applications of physics-informed neural networks (PINNs)
A repository to learn about Physics-informed Neural Networks!
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.
PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.
PyTorch Implementation of Physics-informed Neural Networks
Programmes Python et C++ de mon projet tuteuré de S6. (2024)
Comparative analysis of computational modeling of acoustic wave propagation using neural network-based methods.
Paper: Modeling water and nitrogen dynamics in unsaturated soils using physics and multi-physics informed neural networks.
Yet another PINN implementation
A pytorch framework for solving PDEs via Physics Informed Neural Networks (PINNs)!
Add a description, image, and links to the pinns topic page so that developers can more easily learn about it.
To associate your repository with the pinns topic, visit your repo's landing page and select "manage topics."