Software used in `Physics-driven machine learning models coupling PyTorch and Firedrake'

This record collates DOIs for the software components used in 'Physics-driven machine learning models coupling PyTorch and Firedrake'. The Firedrake components and dependencies used were: COFFEE (A Compiler for Fast Expression Evaluation): 10.5281/zenodo.3903189 FInAT (a smarter library of finite elements): 10.5281/zenodo.7623007 fiat (The Finite Element Automated Tabulator): 10.5281/zenodo.7623001 firedrake (an automated finite element system): 10.5281/zenodo.7623002 loopy (Transformation-Based Generation of High-Performance CPU/GPU Code): 10.5281/zenodo.6444324 petsc (Portable, Extensible Toolkit for Scientific Computation): 10.5281/zenodo.7623006 tsfc (The Two Stage Form Compiler): 10.5281/zenodo.7623005 ufl (The Unified Form Language): 10.5281/zenodo.7623003 PyOP2 (Framework for performance-portable parallel computations on unstructured meshes): 10.5281/zenodo.7623004 You can install Firedrake using exactly this set of component versions using: firedrake-install --doi 10.5281/zenodo.7623009 See firedrakeproject.org/download.html for more information