arXiv · 1809.04750
Important descriptors and descriptor groups of Curie temperatures of rare-earth transition-metal binary alloys
Abstract
We analyze Curie temperatures of rare-earth transition metal binary alloys with machine learning method. In order to select important descriptors and descriptor groups, we introduce newly developed subgroup relevance analysis and adopt the hierarchical clustering in the representation. We execute the exhaustive search and successfully illustrate the importance of descriptors and descriptor groups. We execute the exhaustive search and illustrate that our approach indeed leads to the successful selection of important descriptors and descriptor groups. It helps us to choose the combination of the descriptors and to understand the meaning of the selected combination of descriptors.
Explore related subjects
Keep this discovery
Hieu Chi Dam, Viet Cuong Nguyen, Tien Lam Pham, Anh Tuan Nguyen, Kiyoyuki Terakura, Takashi Miyake, Hiori Kino. 2018-09-13. Important descriptors and descriptor groups of Curie temperatures of rare-earth transition-metal binary alloys. https://doi.org/10.7566/jpsj.87.113801
Cite the original work for its findings. Save a collection to share your selection of sources.