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English(EN) ONE CYLinder: A Benchmark for Graph-Based Surrogate Modeling of Unsteady Bluff-Body Flows

新的ONECYL基准推动了基于图的CFD代理建模

研究人员推出了ONECYL,这是一个旨在推进计算流体动力学(CFD)模拟的基于图的代理建模的新基准。该基准解决了在各种流动状态下,非定常圆柱体流动数据集稀缺的问题。ONECYL包含高保真模拟、时间分辨数据和一个统一的评估框架,用于评估模型的准确性和物理保真度。开发了一个图Transformer模型作为基线,证明了编码圆柱体几何形状和使用基于物理的正则化可以提高预测准确性和泛化能力。 AI

影响 推动了CFD的基于图的代理建模,有望在流体动力学研究中加速模拟速度并提高准确性。

排序理由 该集群描述了一个用于计算流体动力学中基于图的代理建模的新基准和基线模型,发布在arXiv上。 [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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新的ONECYL基准推动了基于图的CFD代理建模

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该集群描述了一个用于计算流体动力学中基于图的代理建模的新基准和基线模型,发布在arXiv上。 [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) · Th\'eodore Michel, Antoine Campos, Alban Dujardin, Henry Areiza, Philippe Meliga, Elie Hachem ·

    ONE CYLinder:非定常钝体流的基于图的代理建模基准测试

    arXiv:2609.08947v1 Announce Type: cross Abstract: Graph-based surrogate models offer a promising route to accelerate computational fluid dynamics (CFD) simulations on unstructured meshes. However, their development is limited by the scarcity of benchmark datasets spanning multipl…