Shota Takemura
(National Institute for Materials Science
)
;
Takashi Takeda
(National Institute for Materials Science
)
;
Takayuki Nakanishi
(National Institute for Materials Science
)
;
Yukinori Koyama
(National Institute for Materials Science
)
;
Hidekazu Ikeno
;
Naoto Hirosaki
(National Institute for Materials Science
)
Description:
(abstract)To efficiently search for novel phosphors, we propose a dissimilarity measure of Local Structure using the Wasserstein distance. This simple and versatile method provides the quantitative similarity of a local structure around the center ion. To calculate the Wasserstein distance, the local structures in crystals are numerically represented as a bag, which consists of interatomic distances. The Wasserstein distance is calculated for various ideal structures and local structures in known phosphors. the variation of the Wasserstein distance corresponds to the structural variation of the local structures, and the Wasserstein distance can quantitatively explain the dissimilarity of the local structures. The correlation between the Wasserstein distance and the full width at half maximum suggests that candidates for novel narrow-band phosphors can be identified by crystal structures that include a local structure with a small Wasserstein distance from the known local structures. The quantitative dissimilarity using the Wasserstein distance is useful in the search of novel phosphors and expected to be applied in materials searches in other fields in which local structures play an important role.
Rights:
Keyword: phosphors, local structure, similarity measure, Wasserstein distance
Date published: 2021-12-31
Publisher: Informa UK Limited
Journal:
Funding:
Manuscript type: Publisher's version (Version of record)
MDR DOI:
First published URL: https://doi.org/10.1080/14686996.2021.1899555
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Updated at: 2024-01-05 22:12:32 +0900
Published on MDR: 2023-03-03 10:52:30 +0900
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Dissimilarity measure of local structure in inorganic crystals using Wasserstein distance to search for novel phosphors.pdf
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