Solving Partial Differential Equations Based on Unstructured Neural Operators
ID:15 View Protection:ATTENDEE Updated Time:2025-09-30 10:34:56 Hits:410 Oral Presentation

Start Time:2025-10-12 14:00(Asia/Shanghai)

Duration:15min

Session:S8 AI, surrogate modeling and optimization » S8-2Session 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
Speaker
Haobo Guo
Xi'an Jiaotong University, China

Submission Author
Haobo Guo Xi'An Jiaotong University
Wen-Quan Tao Xi'an Jiaotong University
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Important Date
  • Conference Date

    Oct 09

    2025

    to

    Oct 13

    2025

  • Oct 13 2025

    Registration deadline

  • Nov 15 2025

    Draft paper submission deadline

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Huazhong University of Science and Technology
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