English(EN) APPSolver: Adaptive Patch Partitioning for Point-Wise Ship Flow Prediction on Unstructured Meshes

新的 APPSolver 框架通过自适应划分改进船舶流预测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:00

研究人员开发了 APPSolver，一个用于在非结构化网格上预测船舶流体动力学的新框架。该系统利用自适应块划分 (APP) 来创建更有效的复杂流体模拟表示。通过根据与船体的接近程度调整块密度，APPSolver 在保持与现有方法相比具有竞争力的准确性的同时，显著降低了计算成本。 AI

影响该方法为流体动力学模拟提供了一种更有效的方法，有可能加速船舶工程及相关领域的研究和开发。

排序理由该项目是一篇详细介绍新计算方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Wenhua Huo, Fenglei Han, Wangyuan Zhao, Xiao Peng, Chunhui Wang, Jialin Wu, Jiayi Han · 2026-09-01 04:00

APPSolver：非结构化网格上的逐点船舶流预测的自适应块划分

arXiv:2608.29355v1 Announce Type: new Abstract: Large non-uniform point sets make direct attention-based surrogate modeling costly for ship hydrodynamics. We introduce APPSolver, a point-wise flow-prediction framework built around Adaptive Patch Partitioning (APP), a deterministi…