Work

Machine Learning‐Assisted Hybrid Package of White Light‐Emitting Diodes Employing Quantum Dots and Phosphor

Year: 2024

Type: article

Abstract: White light‐emitting diodes (WLEDs), known for their high brightness, high efficiency, and long lifetime, are widely utilized in the backlight of liquid crystal displays. However, it is still difficult to improve the color gamut of WLEDs while maintaining the L50 lifetime. The luminous characteristics of WLEDs employing different combinations of quantum dots and phosphor are investigated in this work. Additionally, investigations on the L50 lifetime for WLEDs are carried out by employing a two‐step accelerated stress method. Finally, an ensemble machine learning model is proposed to predict the L50 lifetime of WLEDs, achieving high predictive accuracy with R2 of 0.986.

Source: Advanced Materials Technologies

DOI: 10.1002/admt.202401555

Authors: Fengyun Gao, Hao Yang, Changdong Tong, Yijun Lu, Zhong Chen, Weijie Guo

Institution: Xiamen University

Language: English

Topic: GaN-based semiconductor devices and materials

Subfield: Condensed Matter Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: bronze

Funders: National Natural Science Foundation of China, Fujian Provincial Department of Science and Technology

Awards: G1132557829, G1886695193, G6258114456