Fluidity: A fully unstructured anisotropic adaptive mesh computational modeling framework for geodynamics

By D. R. Davies, Cian R. Wilson, Stephan C. Kramer. 2011

134 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Graphics and Computer-Aided Design

View Paper: https://www.semanticscholar.org/paper/f37986505d228289b3783131b7216eb9ee95d4a3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Simon W. Funke
2. Wolfgang Bangerth
3. Timo Heister
4. Marie E. Rognes
5. Patrick E. Farrell
6. David A. Ham
7. Hans-Peter Bunge
8. Juliane Dannberg

In Computer Graphics and Computer-Aided Design

1. Patrick E. Farrell

Citations in the corpus

• Reconciling dynamic and seismic models of Earth's lower mantle: The dominant role of thermal heterogeneity (2012, background): “However, as the effects are highly non-linear, quantifying exactly how this would influence our conclusions requires further modelling, in codes incorporating improved numerical solution strategies (e.g. Tackley, 2008; Davies et al., 2011).”
• High Accuracy Mantle Convection Simulation through Modern Numerical Methods. II: Realistic Models and Problems (2017, methodology): “…with fixed-point linear solvers, to using adaptively refined, dynamically changing 3d meshes with higher order elements and complicated linear and nonlinear solvers [Stadler et al.(2010),Alisic et al.(2010),Davies et al.(2011),Burstedde et al.(2013), Gerya et al.(2013), Rudi et al.(2015)].”
• Automated Derivation of the Adjoint of High-Level Transient Finite Element Programs (2012, background): “For example, such problems arise in the Stokes equations for mantle convection [11] and the Boltzmann transport equations for radiation transport [44].”