English(EN) SUMNO: Spatially Unrolled Multigrid Neural Operator for Fluid Flow Surrogates

新型神经网络算子SUMNO加速流体动力学模拟

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-14 05:00

研究人员开发了SUMNO，一种用于流体动力学模拟的新型神经网络算子。该架构将多网格V周期展开为前馈网络，利用无参数的下/上采样和加性跳跃连接。SUMNO在流体流动基准测试中表现出卓越的性能，在大多数设置中优于更强的基线，并以显著更少的参数实现了可比的准确性。 AI

影响为流体动力学模拟提供了一种更有效的方法，有可能加速依赖此类建模的领域的研究和开发。

排序理由详细介绍流体动力学模拟新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Yingqi Hu, Nan Deng, Changxiao Shao, Xiaozhou He · 2026-11-14 05:00

SUMNO：流体流动代理的解开式多重网格神经网络算子

arXiv:2611.16341v1 Announce Type: cross Abstract: Data-driven surrogate modeling has emerged as a powerful paradigm for accelerating computational fluid dynamics, and hierarchical U-shaped networks, which resemble the structure of classical Geometric Multigrid (GMG) methods, have…