材料科学中各种数据的语义整合:评估Orowan强化的评估
Bernd Bayerlein1, Markus Schilling2, Philipp von Hartrott3
1Bundesanstalt für Materialforschung- und prüfung (BAM), Unter den Eichen 87, Berlin, 12205, Germany. bernd.bayerlein@bam.de.
Scientific data
|April 30, 2024
概括
这项研究使用语义网络技术整合了材料数据,揭示了合金中的机械性能和微观结构之间的相关性. 这种以数据为中心的方法增强了材料科学研究和分析.
科学领域:
- 材料科学与工程 (MSE)
- 语义网络技术 语义网络技术
- 数据整合数据集成
背景情况:
- 材料数据往往是孤立的,阻碍了全面的分析.
- 整合不同的数据集对于推进材料科学和工程至关重要.
- 语义网络技术为结构化数据集成提供了一个框架.
研究的目的:
- 应用语义网络技术来整合各种材料数据集.
- 为了关联2000系列合金的机械和微观结构性质.
- 展示在MSE中以数据为中心的研究的新方法.
主要方法:
- 利用语义网络技术和本体学 (拉伸测试,沉几何,PMD核心).
- 构建了一个可扩展的知识图,以集成材料数据.
- 在集成数据集上使用SPARQL查询进行数据分析.
- 与微观结构数据 (TEM) 相关的机械性能 (拉力测试).
主要成果:
- 成功地集成了2000系列合金的各种数据集.
- 揭示了衰老时间,机械性能和微观结构之间的相关性.
- 确定了与奥罗万机制一致的相关性.
- 证明了用于材料分析的语义数据集成的有效性.
结论:
- 语义网络技术为整合材料数据提供了一个强大的框架.
- 这种方法遵循FAIR原则,增强数据的可发现性和可用性.
- 这项研究为MSE研究提供了一个新的,以数据为中心的方法.
- 通过语义数据集成实现了增强的分析能力.
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