Physics-Informed-Deep-Learning-Solid-and-Fluid-Mechanics

High-order Lagrangian Hydrodynamics Miniapp

A Python module implementing some standard algorithms used in nonlinear time series analysis

Python model solving the shallow water equations (linear momentum, nonlinear continuity)

Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.

This package contains plugins that support the simulation of waves and surface vessels in Gazebo.

OFF, Open source Finite volume Fluid dynamics code

state of the art C++ pseudo-random number generator library for sequential and parallel Monte Carlo simulations

Simple one-dimensional examples of various hydrodynamics techniques

A framework for the automated derivation and parallel execution of finite difference solvers on a range of computer architectures.

? Parallel Hybrid Particle In Cell code with Adaptive mesh REfinement