Dissimilarity measure of local structure in inorganic crystals using Wasserstein distance to search for novel phosphors
Source abstract
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 dissimilarity of a local structure around a center ion. To calculate the Wasserstein distance, the local structures in crystals are numerically represented as a bag 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 local structures with small Wasserstein distances to local structures of known narrow-band phosphors. 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.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Luminescence Properties of Advanced Materials · Solid-state spectroscopy and crystallography · X-ray Diffraction in Crystallography
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Sialon Group, National Institute for Materials Science, Tsukuba, Japan
Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science, Tsukuba, Japan
Department of Materials Science, Graduate School of Engineering, Osaka Prefecture University, Sakai, Japan
Funding
Core Research for Evolutional Science and Technology
References (25)
Show source-provided references
1. 10.1016/0022-2313(80)90004-610.1016/0022-2313(80)90004-6 ↗
2. 10.1039/b507735d10.1039/b507735d ↗
3. 10.1016/j.jlumin.2006.10.00110.1016/j.jlumin.2006.10.001 ↗
4. 10.1063/1.193502710.1063/1.1935027 ↗
5. 10.1063/1.490110410.1063/1.4901104 ↗
6. 10.1021/acs.chemmater.6b0355510.1021/acs.chemmater.6b03555 ↗
7. 10.1038/nmat401210.1038/nmat4012 ↗
8. 10.1021/cm500610v10.1021/cm500610v ↗
9. 10.1021/cm501162n10.1021/cm501162n ↗
10. 10.1002/adma.20180248910.1002/adma.201802489 ↗
11. 10.1038/s41467-018-06625-z10.1038/s41467-018-06625-z ↗
12. 10.1021/acscombsci.5b0001710.1021/acscombsci.5b00017 ↗
13. 10.1016/j.jallcom.2018.09.37010.1016/j.jallcom.2018.09.370 ↗
14. 10.1063/1.327102410.1063/1.3271024 ↗
15. 10.1039/C9RA07755C10.1039/C9RA07755C ↗
16. 10.1021/jacs.5b0809810.1021/jacs.5b08098 ↗
17. 10.1023/A:102654390005410.1023/A:1026543900054 ↗
18. 10.1007/s11263-009-0234-010.1007/s11263-009-0234-0 ↗
19. 10.1109/TMI.2018.282746210.1109/TMI.2018.2827462 ↗
20. 10.1201/978020350632510.1201/9780203506325 ↗
21. 10.1021/acs.chemrev.7b0028410.1021/acs.chemrev.7b00284 ↗
22. 10.1016/j.pmatsci.2016.09.00710.1016/j.pmatsci.2016.09.007 ↗
23. 10.1016/j.mser.2010.07.00110.1016/j.mser.2010.07.001 ↗
24. 10.1039/C5CS00582E10.1039/C5CS00582E ↗
25. 10.1038/s41592-019-0686-210.1038/s41592-019-0686-2 ↗