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English(EN) TurtLES: A Large-Scale Benchmark for Turbulent 3D Neural PDE Surrogates

TurtLES基准测试发布,用于湍流3D神经PDE代理

研究人员发布了TurtLES,这是一个包含14TB数据的、用于湍流3D神经PDE代理的大规模基准测试数据集。该数据集包含400个3D湍流圆柱尾迹轨迹,通过高保真模拟计算得出,每个轨迹包含400个时间步长和每帧数百万个点。TurtLES旨在通过引入物理上真实的湍流、密集不规则网格和长时域动态,来解决现有基准测试的局限性,为计算流体动力学中的神经算子提供更严格的测试。 AI

影响 为评估复杂流体动力学模拟中的AI模型提供了一个新的、大规模的基准测试。

排序理由 该条目描述了一个用于评估神经PDE代理的新基准数据集,属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

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TurtLES基准测试发布,用于湍流3D神经PDE代理

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该条目描述了一个用于评估神经PDE代理的新基准数据集,属于研究范畴。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    TurtLES:用于湍流3D神经PDE代理的大规模基准测试

    Machine-learning surrogates are increasingly used to accelerate computational fluid dynamics, yet progress is limited by the lack of benchmarks capturing realistic, time-dependent turbulent flows. We introduce TurtLES, a 14 TB dataset of 3D turbulent cylinder wakes in the shear-l…