There are 10 repositories under fenics topic.
A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations.
FEATool - "Physics Simulation Made Easy" (Fully Integrated FEA, FEniCS, OpenFOAM, SU2 Solver GUI & Multi-Physics Simulation Platform)
High performance computational platform in Python for the spectral Galerkin method
Computional Fluid Dynamics (CFD) for FreeCAD based on OpenFOAM and Fenics solver
A reimplementation of the Springer book: https://github.com/hplgit/fenics-tutorial/, covering new topics as well as transitioning from dolfin to dolfinx
A Python library for isogeometric analysis (IGA) using FEniCS.
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
multiphysics FEM solver based on Fenics library
Topology optimization with finite element analysis in FEniCS. Final project for CSCI-GA.2420: Numerical Methods II at New York University.
Repository from the paper https://arxiv.org/abs/1908.04127, to train Deep Reinforcement Learning in Fluid Mechanics Setup.
Differentiable interface to FEniCS for JAX
computational adjoint-based shape optimization and optimal control software for python
multiphenics - easy prototyping of multiphysics problems in FEniCS
This repository contains a simple 55 lines code to carry out large scale parallel Topology Optimization using FEniCS in python
Topology optimization combining OpenFOAM® and FEniCS/dolfin-adjoint.
A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2
preCICE-adapter for the open source computing platform FEniCS
FEniCS implementation: a phase field model for cohesive fracture in micropolar continua
FEMlium – interactive visualization of finite element simulations on geographic maps with folium
Tutorial code with FEniCS-hIPPYlib framework for adjoint inversions
Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network
This repository is a beginner-friendly introduction to Computational Fluid Dynamics (CFD) for those interested in developing their own CFD solver. It includes Jupyter notebooks with detailed instructions.
Easy interoperability with Automatic Differentiation libraries through NumPy interface to Firedrake and FEniCS
Complex constitutive models beyond the FEniCS UFL.
A phase field brittle fracture code coupled to a dummy place-holder FEniCS script providing material parameters