okada39 / pinn_projectile
Physics Informed Neural Network (PINN) for a projectile motion.
☆13Updated 4 years ago
Alternatives and similar repositories for pinn_projectile:
Users that are interested in pinn_projectile are comparing it to the libraries listed below
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Updated last year
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆37Updated 7 months ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated last year
- Rheological Universal Differential Equations: scientific machine learning for modeling complex fluids☆12Updated 2 years ago
- ☆27Updated 2 years ago
- ☆14Updated 6 months ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆55Updated 2 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction☆19Updated 4 years ago
- Rheology-informed Machine Learning Projects☆13Updated 11 months ago
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python☆14Updated 5 years ago
- ☆12Updated 3 years ago
- Random snippets of code I've developed over the years (generally when bored)☆12Updated last year
- FEniCS on GPU takes advantage of CUDA cores to solve SPARSE matrix using cuPy and SciPy libraries.☆18Updated 3 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆17Updated 2 years 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
- Tutorial on a number of topics in Deep Learning☆35Updated 5 years ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆96Updated 6 months ago
- Introduction to JAX Workshop @ ETH Zurich, 25 June 2024☆25Updated 8 months ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆29Updated 2 years ago
- ☆16Updated 2 months ago
- Introduction to declarative PDE solvers☆40Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- PySpectral is a Python package for solving the partial differential equation (PDE) of Burgers' equation in its deterministic and stochast…☆14Updated 2 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆19Updated 3 years ago
- Cahn Hilliard CUDA (Phase-Field Simulation of Spinodal Decomposition)☆13Updated 5 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆12Updated 7 months ago
- The MegaFlow2D dataset package☆18Updated last year
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago