quercushernandez / DeepLearningMOR
Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechanics and Engineering (CMAME).
☆14Updated last year
Alternatives and similar repositories for DeepLearningMOR:
Users that are interested in DeepLearningMOR are comparing it to the libraries listed below
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated last year
- ☆27Updated 2 years ago
- ☆28Updated 2 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆11Updated 7 months ago
- This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction☆19Updated 4 years ago
- ☆12Updated 3 years ago
- ☆14Updated 7 months ago
- Rheological Universal Differential Equations: scientific machine learning for modeling complex fluids☆12Updated 2 years ago
- ☆10Updated last year
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆10Updated 7 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆23Updated last year
- Prediction and control of fracture paths in disordered architected materials using graph neural networks☆10Updated last year
- ☆13Updated 2 years ago
- Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations☆10Updated 5 years ago
- Rheology-informed Machine Learning Projects☆15Updated 11 months ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆15Updated 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…☆13Updated 10 months ago
- Topology Optimization for Porous Electrodes☆10Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- FEniCS on GPU takes advantage of CUDA cores to solve SPARSE matrix using cuPy and SciPy libraries.☆18Updated 3 years ago
- Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurem…☆36Updated 9 months ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- mechanoChemML library☆16Updated 2 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- ☆31Updated 3 years ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆12Updated 8 months ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆18Updated 2 years ago
- ☆21Updated 2 weeks ago