• Laser & Optoelectronics Progress
  • Vol. 60, Issue 7, 0723001 (2023)
Aoxiang Zhang1, Pengfei Zhang1, Liya Jia1, Muhammad Nawaz Sharif1, Fang Wang1、2、*, and Yuhuai Liu1、2、3、**
Author Affiliations
  • 1National Center for International Joint Research of Electronic Materials and Systems, School of Information Engineering, Zhengzhou University, Zhengzhou 450001, Henan, China
  • 2Zhengzhou Way Do Electronics Technology Co., Ltd., Zhengzhou 450001, Henan, China
  • 3Industrial Technology Research Institute Co., Ltd., Zhengzhou University, Zhengzhou 450001, Henan, China
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    DOI: 10.3788/LOP220595 Cite this Article Set citation alerts
    Aoxiang Zhang, Pengfei Zhang, Liya Jia, Muhammad Nawaz Sharif, Fang Wang, Yuhuai Liu. Optimization of Deep Ultraviolet Laser Diode with Monotonic Compositionally Graded Hole Reservoir Layer and Symmetric Compositionally Graded Hole Blocking Layer[J]. Laser & Optoelectronics Progress, 2023, 60(7): 0723001 Copy Citation Text show less

    Abstract

    A monotonic compositionally graded hole reservoir layer (MCG-HRL) and a symmetric compositionally graded hole blocking layer (SCG-HBL) structures are proposed to optimize the electro-optical conversion efficiency and output power of the deep ultraviolet laser diode (DUV-LD). Crosslight software is used to simulate the DUV-LD with infrastructure, rectangular HRL (R-HRL), MCG-HRL, and MCG-HRL structures. The simulation results indicate that the MCG-HRL and SCG-HBL effectively contribute to the increased hole concentration in the quantum wells (QWs), reduce hole leakage in the n-type region, increase radiation recombination rate in the QWs, reduce threshold voltage and resistance, and increase electro-optical conversion efficiency and output power of the DUV-LD.
    Aoxiang Zhang, Pengfei Zhang, Liya Jia, Muhammad Nawaz Sharif, Fang Wang, Yuhuai Liu. Optimization of Deep Ultraviolet Laser Diode with Monotonic Compositionally Graded Hole Reservoir Layer and Symmetric Compositionally Graded Hole Blocking Layer[J]. Laser & Optoelectronics Progress, 2023, 60(7): 0723001
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