okada39 / pinn_projectile
Physics Informed Neural Network (PINN) for a projectile motion.
☆10Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for pinn_projectile
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Updated last year
- This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction☆20Updated 4 years ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated last year
- Rheology-informed Machine Learning Projects☆12Updated 7 months ago
- ☆11Updated 3 years ago
- ☆10Updated last year
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆25Updated 4 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆30Updated 3 months ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆95Updated 3 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆23Updated 11 months ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆49Updated 2 years ago
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆35Updated 4 months ago
- ☆25Updated 2 years ago
- ☆16Updated 9 months ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆17Updated 2 years ago
- ☆13Updated 3 months ago
- Rheological Universal Differential Equations: scientific machine learning for modeling complex fluids☆11Updated last year
- ☆27Updated 2 years ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆55Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆24Updated 2 years ago
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆22Updated last year
- Thermodynamics-based Artificial Neural Networks☆22Updated last year
- Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python☆12Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆19Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆23Updated 3 months ago
- When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.o…☆39Updated last week
- ☆39Updated 4 years ago
- ☆10Updated 2 years ago