gegewen / nested-fnoLinks
☆38Updated last year
Alternatives and similar repositories for nested-fno
Users that are interested in nested-fno are comparing it to the libraries listed below
Sorting:
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆145Updated last year
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆35Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆87Updated 4 years ago
- ☆36Updated 2 years ago
- ☆54Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- Fourier-MIONet: Fourier-enhanced multiple-input neural operators for multiphase modeling of geological carbon sequestration☆16Updated last year
- PDE Preserved Neural Network☆55Updated 4 months ago
- Applications of PINOs☆133Updated 2 years ago
- CCSNet: a deep learning modeling suite for CO2 storage☆23Updated last year
- ☆22Updated last year
- ☆112Updated 7 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- MIONet: Learning multiple-input operators via tensor product☆37Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆69Updated 4 months ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆56Updated 3 years ago
- Deep finite volume method☆22Updated last year
- ☆46Updated 6 months ago
- This is the implementation of the RecFNO.☆22Updated 2 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆82Updated 3 weeks ago
- This is the implementation of the PI-UNet for HSL-TFP☆27Updated 2 years ago
- Physics informed neural network for learning seepage flow models☆17Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- Physics-encoded recurrent convolutional neural network☆46Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆89Updated 2 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆31Updated 2 years ago
- ☆42Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆32Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆55Updated 2 months ago