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Temporal self-attention improves field-based flow prediction under distribution shift and incomplete conditioning

2026-08-13

Abstract excerpt

<title>Abstract</title> <p>Data-driven fluid modelling now spans application-specific surrogates, multi-physics pretraining, and Earth-system foundation models. Nevertheless, many CFD predictors are evaluated within a single application family or on canonical configurations with fixed or simplified geometries and boundary conditions. Governing parameters are often held fixed or supplied explicitly, while substant...

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Literature Corpus work
e33bce8a-1f5f-5dad-9232-7d0d304c219d
DOI
10.21203/rs.3.rs-10458224/v1
Open publication

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Temporal self-attention improves field-based flow prediction under distribution shift and incomplete conditioningDOI 10.21203/rs.3.rs-10458224/v1
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