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English(EN) CoPiT: A conditional Position-induced Transformer for aerodynamic field prediction on unstructured meshes

CoPiT Transformer 推进非结构化网格上的气动预测

研究人员开发了CoPiT,一种用于非结构化网格上气动场预测的条件位置诱导Transformer。该模型通过特征级线性调制(FiLM)显式地整合了自由流状态和设计变量等全局参数,从而改进了现有的神经算子。在翼型和混合翼身表面上的评估表明,CoPiT比其他方法显著降低了表面和体积损失,并在一个数据集中实现了最低的总体归一化测试均方误差。 AI

影响 该模型为复杂的气动模拟提供了一个更有效的代理,有可能加速航空航天工程中的设计探索和优化。

排序理由 该集群包含一篇详细介绍特定科学领域新模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

CoPiT Transformer 推进非结构化网格上的气动预测

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该集群包含一篇详细介绍特定科学领域新模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Junfeng Chen, Yongchen Fan, Zhonghua Qiao, Kailiang Wu ·

    CoPiT:一种用于非结构化网格气动场预测的条件位置诱导Transformer

    arXiv:2610.32299v1 Announce Type: cross Abstract: High-fidelity Reynolds-averaged Navier--Stokes (RANS) simulations remain a standard tool for aerodynamic analysis, yet each solve on an unstructured mesh is computationally expensive, making many-query tasks such as design explora…