Automation of DG and CPG Galerkin-in-time schemes in Irksome with support for auxiliary variables, flexible quadrature, and monolithic solvers.
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2026 2verdicts
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A unified training framework for mesh-based ML surrogates in CFD improves accuracy and long-horizon stability by enforcing spatial derivative consistency via multi-node prediction, using temporal cross-attention correction, and adding 3D rotary positional embeddings.
citing papers explorer
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Automated Galerkin time stepping in Irksome
Automation of DG and CPG Galerkin-in-time schemes in Irksome with support for auxiliary variables, flexible quadrature, and monolithic solvers.
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Mesh Based Simulations with Spatial and Temporal awareness
A unified training framework for mesh-based ML surrogates in CFD improves accuracy and long-horizon stability by enforcing spatial derivative consistency via multi-node prediction, using temporal cross-attention correction, and adding 3D rotary positional embeddings.