Identifying an efficient, thermally robust inorganic phosphor host via machine learning
Identifying phosphors with good thermal stability and quantum efficiency is a prerequisite to improve the performance of white LED light sources. Here, a combined machine learning and density functional theory method is introduced to identify next generation inorganic phosphors.
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2018
|
| Subjects: | |
| Online Access: | https://doaj.org/article/3702a80a2f9b445381a72ddd2dbb5fc9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Identifying phosphors with good thermal stability and quantum efficiency is a prerequisite to improve the performance of white LED light sources. Here, a combined machine learning and density functional theory method is introduced to identify next generation inorganic phosphors. |
|---|