首个通过实验获得的数据集,涉及软磁性复合材料的加工参数和性能
Radovan Bures1, Vasily A Milyutin2, Maria Faberova3
1Institute of Materials Research, Slovak Academy of Sciences, Watsonova 47, 040 01, Kosice, Slovak Republic. rbures@saske.sk.
Scientific data
|January 3, 2025
概括
本研究介绍了软磁复合材料 (SMC) 的第一个实验数据集,详细介绍了加工参数和功能特性. 这个资源使得数据驱动的研究能够研究SMC材料中的结构-属性关系.
科学领域:
- 材料科学 材料科学 材料科学
- 凝聚物质物理学 凝聚物质物理学
- 数据科学数据科学数据科学
背景情况:
- 软磁性复合材料 (SMC) 对于各种电子应用至关重要.
- 了解处理和属性之间的复杂相互作用对于优化SMC性能至关重要.
- 现有的研究往往缺乏全面的实验性数据集.
研究的目的:
- 创建和分析软磁复合材料 (SMC) 的第一个实验数据集.
- 建立处理参数,材料结构和功能性质之间的相关性.
- 促进在中小企业领域数据驱动的研究方法.
主要方法:
- 实验制造了282个独特的Fe-3%MgO软磁性复合材料样品.
- 多种关键处理参数:MgO纳米粒子大小,压力,烧结温度,时间和大气.
- 测量的关键性质:密度,复杂的磁透性,强制性和共振频率.
主要成果:
- 开发了第一套针对中小企业的全面,经过实验验证的数据集.
- 数据集包括每个样本的详细处理参数和测量的功能性质.
- 这些数据为探索中小企业的处理结构和财产关系提供了基础.
结论:
- 创建的数据集是SMC研究社区的重要资源.
- 可实现高级数据驱动分析和SMC行为的预测建模.
- 数据集是公开的,并将扩展到更多的参数和属性.
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