somdattagoswami / Operator-Learning-for-aortic-aneurysmsLinks
Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms
☆11Updated 7 months ago
Alternatives and similar repositories for Operator-Learning-for-aortic-aneurysms
Users that are interested in Operator-Learning-for-aortic-aneurysms are comparing it to the libraries listed below
Sorting:
- Physics-informed neural networks for identifying material properties in solid mechanics☆19Updated last year
- Data preprocess method on Physics-informed neural networks☆15Updated 3 months ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆14Updated last year
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Multifidelity DeepONet☆33Updated last year
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Multi-fidelity reduced-order surrogate modeling☆23Updated last month
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆15Updated 10 months ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆20Updated 4 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆24Updated last year
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆12Updated 9 months ago
- ☆38Updated 3 years ago
- Python tools for non-intrusive reduced order modeling☆19Updated 2 months ago
- ☆21Updated 4 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆27Updated 2 years ago
- CU-BEN serial version: geometric and material nonlinear static and transient dynamic structural analysis/ linear acoustic fluid structure…☆11Updated 5 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 3 years ago
- ☆33Updated 3 years ago
- POD-PINN code and manuscript☆51Updated 6 months ago
- Physics-informed radial basis network☆30Updated last year
- Deep finite volume method☆21Updated 11 months ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 3 months ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆30Updated last year
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆11Updated 4 years ago