weili101 / Phase-Field_DeepONetLinks
☆19Updated last year
Alternatives and similar repositories for Phase-Field_DeepONet
Users that are interested in Phase-Field_DeepONet are comparing it to the libraries listed below
Sorting:
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆42Updated 5 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆38Updated 2 years ago
- ☆54Updated 3 years ago
- MIONet: Learning multiple-input operators via tensor product☆43Updated 3 years ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆26Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- ☆73Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆36Updated 3 years ago
- ☆45Updated 3 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆83Updated 3 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆66Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆29Updated 6 months ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆43Updated 2 years ago
- ☆40Updated 2 years ago
- ☆29Updated last year
- Rheology-informed Machine Learning Projects☆22Updated last year
- DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations☆39Updated last year
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆121Updated last year
- ☆197Updated 9 months ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆87Updated 4 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆19Updated 2 months ago
- ☆13Updated 3 years ago
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆20Updated 3 years ago
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆42Updated last year
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last month