检索结果-南通市图书馆

Identification of advanced spin-driven thermoelectric materials via interpretable machine learning

npj Computational Materials 2019年第1期5卷 232-237页

作者： Yuma Iwasaki Ryohto Sawada Valentin Stanev Masahiko Ishida Akihiro Kirihara Yasutomo Omori hiroko someya Ichiro Takeuchi Eiji Saitoh Shinichi Yorozu Central Research Laboratories NEC CorporationTsukuba 305-8501Japan PREST JSTSaitama 322-0012Japan Department of Materials Science and Engineering University of MarylandCollege ParkMD 20742USA Center for Nanophysics and Advanced Materials University of MarylandCollege ParkMD 20742USA Joint Quantum Institute University of MarylandCollege ParkMD 20742USA Institute for Materials Research Tohoku UniversitySendai 908-8577Japan WPI Advanced Institute for Materials Research Tohoku UniversitySendai 908-8577Japan Advanced Science Research Center Japan Atomic Energy AgencyTokai 319-1195Japan RIKEN Center for Emergent Matter Science Wako 351-0198Japan

Machine learning is becoming a valuable tool for scientific *** attractive is the application of machine learning methods to the field of materials development,which enables innovations by discovering new and better functional *** apply machine learning to actual materials development,close collaboration between scientists and machine learning tools is ***,such collaboration has been so far impeded by the black box nature of many machine learning *** is often difficult for scientists to interpret the data-driven models from the viewpoint of material science and ***,we demonstrate the development of spin-driven thermoelectric materials with anomalous Nernst effect by using an interpretable machine learning method called factorized asymptotic Bayesian inference hierarchical mixture of experts(FAB/HMEs).Based on prior knowledge of material science and physics,we were able to extract from the interpretable machine learning some surprising correlations and new knowledge about spin-driven thermoelectric *** by this,we carried out an actual material synthesis that led to the identification of a novel spin-driven thermoelectric *** material shows the largest thermopower to date.

关键词： becoming learning attractive

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：