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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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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