# alexpapados/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics

<https://repo.masters-masters.com/en/repos/alexpapados/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics>

[Home](https://repo.masters-masters.com/en) › [alexpapados](https://repo.masters-masters.com/en/owners/alexpapados) › [Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics](https://repo.masters-masters.com/en/repos/alexpapados/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics)

alexpapados/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics has 232 stars on GitHub. Its RepoMasters card: Prototype tier. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [alexpapados](https://repo.masters-masters.com/en/owners/alexpapados) |
| Stars | 232 |
| Forks | 50 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | pinns, computational-fluid-dynamics, computational-physics, physics-informed-neural-networks, physics-based-simulation, linear-elasticity, hydrodynamics, shock-tube |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [alexpapados/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics](https://github.com/alexpapados/Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics) |

## Repository

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.