vivekoommen / NPJCOMPUMATS-03747Links
Learning two-phase microstructure evolution using neural operators and autoencoder architectures
☆25Updated last year
Alternatives and similar repositories for NPJCOMPUMATS-03747
Users that are interested in NPJCOMPUMATS-03747 are comparing it to the libraries listed below
Sorting:
- ☆54Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆15Updated last year
- This is the implementation of the RecFNO.☆21Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆67Updated 4 months ago
- ☆36Updated 2 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 months ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- ☆10Updated 2 years ago
- ☆42Updated 2 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆41Updated 2 years ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated last year
- Separabale Physics-Informed DeepONets in JAX☆10Updated 8 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆50Updated 2 months ago
- ☆45Updated 5 months ago
- PDE Preserved Neural Network☆54Updated 3 months ago
- ☆29Updated 2 years ago
- ☆22Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- ☆11Updated last month
- Code for Mesh Transformer describes in the EAGLE dataset☆41Updated 6 months ago
- ☆58Updated last week
- POD-PINN code and manuscript☆52Updated 9 months ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆27Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- ☆12Updated last year
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆18Updated 3 years ago
- ☆12Updated 2 years ago
- ☆23Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆49Updated 2 years ago