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Underworld3: Mathematically Self-Describing Modelling in Python for Desktop, HPC and Cloud

Authors: Louis Moresi; Julian Giordani; Matt Knepley; Romain Beucher; Thyagarajulu Gollapalli; Juan Carlos Graciosa; Ben Knight; +3 Authors

Underworld3: Mathematically Self-Describing Modelling in Python for Desktop, HPC and Cloud

Abstract

Underworld3 v3.0.1 Patch release with build reliability fixes and documentation improvements. Bug Fixes Fix petsc_save_checkpoint() to use XDMF compatibility groups (fixes #80) Fix stale build cache: ./uw build now uses --no-cache-dir to prevent pip from reusing wheels compiled against the wrong PETSc Fix Dockerfile resilience to dependency version differences Fix binder launcher dispatch payload and YAML quoting Improvements Auto-detect binder launcher ref from git tag in RTD documentation Add manual dispatch overrides for binder image builds Update README with binder badges for v0.99, v3.0.0, and development Contributors Underworld development team with AI support from Claude Code.

Keywords

finite elements, geodynamics, particle-in-cell, symbolic computation

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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).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average