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Carbon‐Dot‐Based White‐Light‐Emitting Diodes with Adjustable Correlated Color Temperature Guided by Machine Learning.

Authors :
Wang, Xiao
Wang, Bo
Wang, Hongshuai
Zhang, Tianyang
Qi, Huihui
Wu, Zhenyu
Ma, Yurong
Huang, Hui
Shao, Mingwang
Liu, Yang
Li, Youyong
Kang, Zhenhui
Source :
Angewandte Chemie International Edition. 5/25/2021, Vol. 60 Issue 22, p12585-12590. 6p.
Publication Year :
2021

Abstract

Here, we show the fabrication of the carbon dots (CDs) with green and orange emissions from PTCDA (perylene‐3,4,9,10‐tetracarboxylic dianhydride). Using these CDs as emitters, the orange (or green) CDs LEDs were fabricated, which show electroluminescence (EL) spectra centered at 560 nm (or 498 nm) with an external quantum efficiency (EQE) of 1.98 % (1.76 %) adhering a luminescence of 626 cd m−2 (or 519 cd m−2). The machine learning was successfully used to predict PL CCT value. With the model, the white photoluminescence (PL) emission with adjustable correlated color temperature (CCT) from 3093 to 11018 K via combining blue, green, and orange CDs was achieved. Then, we obtained the warm white CDs LEDs with CCT of 3107, 4071 and 4548 K, and cold white CDs LEDs with CCT of 5632 (CIE coordinates of (0.33, 0.33), EQE: 1.18 %, luminescence: 598 cd m−2) and 6034 K accurately. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14337851
Volume :
60
Issue :
22
Database :
Academic Search Index
Journal :
Angewandte Chemie International Edition
Publication Type :
Academic Journal
Accession number :
150367559
Full Text :
https://doi.org/10.1002/anie.202103086