Solving Partial Differential Equations Based on Unstructured Neural Operators
ID：15
Submission ID：84 View Protection：ATTENDEE
Updated Time：2025-09-30 10:34:56
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Oral Presentation
Start Time：2025-10-12 14:00 （Asia/Shanghai）
Duration：15min
Session：[S8] AI, surrogate modeling and optimization » [S8-2] Session 8-2
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Abstract
We present a neural operator that directly handles unstructured CFD data via projection-based attention. It captures complex spatial dependencies and generalizes across geometries. Numerical experiments on structured and unstructured PDE datasets show superior accuracy and efficiency compared with existing approaches.
Keywords
operator learning,unstructured grid,flow and heat transfer
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