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Carbon‐Dot‐Based White‐Light‐Emitting Diodes with Adjustable Correlated Color Temperature Guided by Machine Learning
Author(s) -
Wang Xiao,
Wang Bo,
Wang Hongshuai,
Zhang Tianyang,
Qi Huihui,
Wu Zhenyu,
Ma Yurong,
Huang Hui,
Shao Mingwang,
Liu Yang,
Li Youyong,
Kang Zhenhui
Publication year - 2021
Publication title -
angewandte chemie
Language(s) - English
Resource type - Journals
eISSN - 1521-3757
pISSN - 0044-8249
DOI - 10.1002/ange.202103086
Subject(s) - electroluminescence , luminescence , photoluminescence , light emitting diode , color temperature , materials science , quantum dot , optoelectronics , diode , fabrication , orange (colour) , quantum efficiency , optics , nanotechnology , physics , medicine , alternative medicine , layer (electronics) , pathology
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.