English(EN) Neural Operators for Immersed-Boundary Soft Swimmers Locomotion

神经算子加速软体游泳器流体动力学模拟

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-11 04:00

研究人员开发了神经算子代理模型来模拟软体游泳器（如鳗鱼）在流体环境中的复杂运动。这些模型显著降低了高保真模拟的计算成本，使其在工程设计和控制应用中更加实用。所开发的模型在预测流体动力学场方面实现了低误差率，但指出压力精度和物理一致性方面的进一步改进是未来工作的领域。 AI

影响能够实现更快、更高效的流体动力学模拟，有望加速机器人和仿生工程领域的研究与开发。

排序理由该集群包含一篇研究论文，详细介绍了使用神经算子模拟流体动力学的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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

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arXiv cs.LG TIER_1 English(EN) · Mohammad Sadegh Eshaghi, Yizheng Wang, Navid Valizadeh, Xiaoying Zhuang, Timon Rabczuk · 2026-08-11 04:00

用于浸入边界软体游泳器运动的神经算子

arXiv:2608.07722v1 Announce Type: new Abstract: High-fidelity immersed-boundary simulation resolves the coupled motion of a deforming swimmer and its surrounding flow, but the resulting cost limits repeated evaluations for engineering design, parameter studies, and control. We de…