让工程师实时模拟材料变形与应力分布，加速新型结构设计。
LEIA: Learned Environment for Interactive Architected Materials
- 构建可交互的物理世界模型，支持逐步施加边界条件
- 在三维非结构网格上实时生成变形与应力响应，精度接近有限元法
- 适用于显式/隐式微结构建模，助力新材料快速筛选
世界模型已实现游戏环境与机器人操作的交互探索，但物理工程仍难以企及：真实材料具有非线性本构关系、历史依赖的内部状态、惯性动力学特性，并可能具备跨尺度的层级结构。我们提出LEIA（Learned Environment for Interactive Architected Materials），一种能让工程师逐步施加边界条件并实时观察形变与应力场的世界模型。LEIA可处理大规模三维非结构化网格，对用户指定的载荷生成自回归响应。我们引入MicroPlate基准，涵盖两种微结构建模范式：显式解析微结构的晶格板与通过内部自由度隐式建模微结构变化的均质板。该基准用于评估LEIA与四种基线方法在两类场景中的表现。最后，我们验证了LEIA可高效生成并排序候选设计，实现基于代理模型的快速逆向设计，其应力排序精度经有限元真值验证。
原文摘要 · Abstract (English)
World models have enabled interactive exploration of game environments and robotic manipulation, but physical engineering remains beyond their reach: real materials exhibit nonlinear constitutive laws, carry history-dependent internal state, undergo inertial dynamics, and may possess hierarchical structures spanning multiple length scales. We present LEIA (Learned Environment for Interactive Architected materials), a world model that lets engineers apply boundary conditions step by step and observe the resulting deformation and stress fields in real time. LEIA handles large three-dimensional unstructured meshes and generates autoregressive responses to user-specified loading. We introduce MicroPlate, a benchmark of architected plates spanning two regimes of microstructure modeling: architected lattices that resolve microstructure explicitly through three-dimensional geometry, and a homogeneous plate where microstructural change is modeled implicitly through internal degrees of freedom. MicroPlate is used to assess LEIA alongside four baseline methods across both regimes. Finally, we demonstrate that LEIA enables efficient candidate generation and ranking for fast surrogate-guided search for de novo designs of architected materials, with stress-accurate candidate ranking validated by finite element ground truth.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。