构建了材料设计的专用语言与数据库，支持智能逆向设计。
MetaGen: A DSL, Database, and Benchmark for VLM-Assisted Metamaterial Generation
- 用领域语言MetaDSL统一描述复杂超材料结构
- 建立15万+参数化程序库，含三维几何与力学仿真数据
- 提供三大评测任务，适合材料与AI交叉研究者
超材料是通过微观结构赋予高度可调、甚至反直觉整体特性的微架构材料，但其设计困难源于几何复杂性及结构与性能之间非线性的映射关系。本文提出三项互补贡献：(i) MetaDSL——一种紧凑且语义丰富的领域特定语言，以人类可读、机器可解析的形式表达多样化的超材料设计；(ii) MetaDB——一个精心整理的数据库，包含超过15万条参数化MetaDSL程序及其衍生数据，包括三维几何、多视角渲染图与模拟弹性性能；(iii) MetaBench——用于测试视觉-语言超材料助手三大核心能力的基准套件：结构重建、基于性能的逆向设计和性能预测。通过微调前沿视觉-语言模型建立基线，并在交互式、类CAD界面中部署全模型。案例研究显示，本框架为结构-表征-性能关系的集成设计与理解提供了有力起点。
原文摘要 · Abstract (English)
Metamaterials are micro-architected structures whose geometry imparts highly tunable-often counter-intuitive-bulk properties. Yet their design is difficult because of geometric complexity and a non-trivial mapping from architecture to behaviour. We address these challenges with three complementary contributions. (i) MetaDSL: a compact, semantically rich domain-specific language that captures diverse metamaterial designs in a form that is both human-readable and machine-parsable. (ii) MetaDB: a curated repository of more than 150,000 parameterized MetaDSL programs together with their derivatives-three-dimensional geometry, multi-view renderings, and simulated elastic properties. (iii) MetaBench: benchmark suites that test three core capabilities of vision-language metamaterial assistants-structure reconstruction, property-driven inverse design, and performance prediction. We establish baselines by fine-tuning state-of-the-art vision-language models and deploy an omni-model within an interactive, CAD-like interface. Case studies show that our framework provides a strong first step toward integrated design and understanding of structure-representation-property relationships.
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