Wave propagators for seismic domains with application to full waveform inversion.
-
Updated
Jul 17, 2026 - Python
Wave propagators for seismic domains with application to full waveform inversion.
A shape optimisation toolbox built on the Firedrake finite element library.
Finite Element Method for Electrochemical Transport (EchemFEM)
FEMlium – interactive visualization of finite element simulations on geographic maps with folium
[NeurIPS 2024 Spotlight] Towards Universal Mesh Movement Networks
Physics-driven machine learning using PyTorch and Firedrake
Easy interoperability with Automatic Differentiation libraries through NumPy interface to Firedrake and FEniCS
The firedrake-ts library provides an interface to PETSc TS for the scalable solution of DAEs arising from the discretization of time-dependent PDEs.
Goal-oriented error estimation and mesh adaptation for finite element problems solved using Firedrake
Seismic inversion using a neural network regulariser implemented as an ExternalOperator in Firedrake
Mesh adaptation utilities for coastal ocean modelling in Firedrake and Thetis.
Mesh movement methods for finite element problems solved using Firedrake
Demo and simple scripts using Firedrake
A generalizable finite-element solver for the Poisson-Nernst-Planck equation with Butler-Volmer boundary conditions.
Official repository containing the code accompanying the thesis "Learning the boundary-to-solution mapping of nonlinear flow PDEs", MSc Financial Mathematics, UCL. Includes data generation, model implementations, and experiments.
Demo project for teaching purposes
Add a description, image, and links to the firedrake topic page so that developers can more easily learn about it.
To associate your repository with the firedrake topic, visit your repo's landing page and select "manage topics."