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: | Ya Zhuo, Aria Mansouri Tehrani, Anton O. Oliynyk, Anna C. Duke, Jakoah Brgoch |
---|---|
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!
|
Similar Items
-
The reduction of the thermal quenching effect in laser-excited phosphor converters using highly thermally conductive hBN particles
by: Akvilė Zabiliūtė-Karaliūnė, et al.
Published: (2021) -
Highly efficient phosphor-glass composites by pressureless sintering
by: Dao Zhang, et al.
Published: (2020) -
Luminescence mechanism of highly efficient yag and tag phosphors
by: Nazarov, Mihail
Published: (2005) -
Unicolored phosphor-sensitized fluorescence for efficient and stable blue OLEDs
by: Paul Heimel, et al.
Published: (2018) -
Thermal degradation of oriental beech wood impregnated with different inorganic salts
by: Vargun,Elif, et al.
Published: (2019)