基于证据的推系统用于高合金.
Minh-Quyet Ha1, Duong-Nguyen Nguyen1, Viet-Cuong Nguyen2
1Japan Advanced Institute of Science and Technology, Nomi, Japan.
Nature computational science
|January 13, 2024
概括
本研究介绍了一种基于证据的材料推系统 (ERS),用于发现高合金 (HEAs). 这种新系统的性能优于现有方法,有助于识别具有可取性质的新型磁性HEAs.
科学领域:
- 材料科学 材料科学 材料科学
- 计算材料科学科学 计算材料科学
- 合金设计设计 合金设计
背景情况:
- 探索高合金 (HEAs) 具有挑战性,因为它具有巨大的组合可能性和有限的偏差数据.
- 现有的数据驱动方法在描述器设计和数据稀缺方面扎.
研究的目的:
- 开发一个先进的,基于证据的材料推系统 (ERS) 以有效地发现高合金.
- 克服目前HEA勘探中的数据驱动方法的局限性.
主要方法:
- 开发了一个基于证据的推系统 (ERS),利用Dempster-Shafer理论进行不确定性推理.
- 建模,收集和结合来自HEA阶段存在数据的证据,而不依赖材料描述符.
- 使用四个合金数据集对矩阵因子化和监督学习推器进行ERS性能评估.
主要成果:
- 在推高合金方面,ERS在多个数据集中表现出优异的性能,与现有方法相比.
- 在推复杂的四元和五元高温电池方面取得了强大的外推能力.
- 实验验证了一种推的基于Fe-Co的磁性HEA (FeCoMnNi),具有以身体为中心的立方体结构.
结论:
- 基于Dempster-Shafer理论的ERS提供了一种强大而有效的方法来发现高合金.
- 该系统克服了HEA勘探中的关键挑战,包括数据限制和描述器设计.
- 经过验证的实验结果证实了ERS在识别新型磁性材料方面的实际实用性.
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