Demo and simple scripts using Firedrake
[NeurIPS 2024 Spotlight] Towards Universal Mesh Movement Networks
FEMlium – interactive visualization of finite element simulations on geographic maps with folium
Easy interoperability with Automatic Differentiation libraries through NumPy interface to Firedrake and FEniCS
Goal-oriented error estimation and mesh adaptation for finite element problems solved using Firedrake
Demo project for teaching purposes
The firedrake-ts library provides an interface to PETSc TS for the scalable solution of DAEs arising from the discretization of time-dependent PDEs.
Mesh adaptation utilities for coastal ocean modelling in Firedrake and Thetis.
Seismic inversion using a neural network regulariser implemented as an ExternalOperator in Firedrake
Finite Element Method for Electrochemical Transport (EchemFEM)
Mesh movement methods for finite element problems solved using Firedrake
A shape optimisation toolbox built on the Firedrake finite element library.
Physics-driven machine learning using PyTorch and Firedrake
Wave propagators for seismic domains with application to full waveform inversion.
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