Committee machine that votes for similarity between materials.

ABSTRACT: A method has been developed to measure the similarity between materials, focusing on specific physical properties. The information obtained can be utilized to understand the underlying mechanisms and support the prediction of the physical properties of materials. The method consists of three steps: variable evaluation based on nonlinear regression, regression-based clustering, and similarity measurement with a committee machine constructed from the clustering results. Three data sets of well characterized crystalline materials represented by critical atomic predicting variables are used as test beds. Herein, the focus is on the formation energy, lattice parameter and Curie temperature of the examined materials. Based on the information obtained on the similarities between the materials, a

SUBMITTER: Nguyen DN 

PROVIDER: S-EPMC6211525 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature