esys-escript is a module for implementing mathematical models in Python using the finite element method (FEM). As users do not access the underlying data structures it is very easy to use and scripts can run on desktop computers as well as massive parallel supercomputers without changes. Application areas for esys-escript include geophysical inversion, earthquakes, porous media flow, reactive transport, plate subduction, erosion, earth mantle convection, and tsunamis.
esys-escript is designed as an easy-to-use environment for implementing mathematical models based on non-linear, coupled, time-dependent partial differential equations. It uses the finite element method (FEM) for spatial discretization and data representation and is used through Python. It is suitable for rapid prototyping (e.g. for a student project or thesis) as well as for large software projects. Scripts are executed sequentially, on multi-core platforms via OpenMP and distributed computing clusters using MPI. The hybrid mode of OpenMP and MPI is supported and allows for solving problems with over 200 million unknowns on several thousand cores on a parallel computer.
For geophyscial inversion see also the extensions gambit and fingal.
Further documentation including examples and a user guide for the latest release can be found at https://esys-escript.github.io/
For the impatient:
scons
to build escriptFor information on a specific Linux distribution, please consult the install guide (install.pdf).
Debian packages [python3-escript-mpi] and [python3-escript] are available.
To install esys-escript for anaconda, first run conda and then the command
conda install esys-escript -c conda-forge
At present, this is the recommended way to run esys-escript on Windows.
To get started using escript please consult the user guide (user.pdf). All of these documents are available here and at https://esys-escript.github.io/
Click on this button to try out esys-escript in your web browser:
If you publish work that makes use of esys-escript, we would appreciate if you would cite the following reference:
To raise a question or to report a bug please start a github issue.
Lutz Gross
Adam Ellery
Andrea Codd
Joel Fenwick
Cihan Altinay
Simon Shaw
Jaco Du Plessis
Ralf Schaa
Peter Hornby
Thomas Poulet
Lin Gao
Artak Amirbekyan
Ken Steube