研究人员开发了Dmsh，一个利用多智能体强化学习进行自动化四边形网格生成的新型框架。该系统采用三个协调的智能体来处理拓扑简化、几何正则化和网格生成过程本身。Dmsh旨在通过为复杂几何体提供全自动化、鲁棒且高质量的解决方案，克服传统方法的局限性，并可能在计算工程领域树立新标准。 AI
影响 引入了一种新的基于学习的网格生成范式，有望简化计算工程工作流程。
排序理由 该集群包含一篇详细介绍新网格生成框架的学术论文。
AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →
arXiv:2606.10601v1 Announce Type: cross Abstract: Generating high-quality meshes for arbitrary geometries remains a fundamental bottleneck in computational engineering, often demanding heuristic tuning and semi-manual workflows. In this paper, we introduce Dmsh, a first fully aut…
Generating high-quality meshes for arbitrary geometries remains a fundamental bottleneck in computational engineering, often demanding heuristic tuning and semi-manual workflows. In this paper, we introduce Dmsh, a first fully automated reinforcement learning pipeline that unifie…
Generating high-quality meshes for arbitrary geometries remains a fundamental bottleneck in computational engineering, often demanding heuristic tuning and semi-manual workflows. In this paper, we introduce Dmsh, a first fully automated reinforcement learning pipeline that unifie…