Acta Optica Sinica, Volume. 44, Issue 22, 2223001(2024)

Lifetime Prediction of UV LEDs Based on Bayesian MCMC and Other Models

Hui Miao, Weiling Guo*, Ziyuan Liu, and Rongjing Wang
Author Affiliations
  • Key Laboratory of Opto-Electronic Technology, Ministry of Education, College of Information Science and Technology, Beijing University of Technology, Beijing 100124, China
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    References(18)

    [1] Yang J Q, Yang R F, Zhao N J et al. In-situ detection of petroleum hydrocarbon pollutants in soil by ultraviolet-induced fluorescence[J]. Acta Optica Sinica, 43, 0612009(2023).

    [2] Wu G, Tang L B, Hao Q et al. Dual-band and high-responsivity ultraviolet detector based on Pt/GaN/AlGaN heterojunction[J]. Acta Optica Sinica, 43, 0304002(2023).

    [5] IES-TM-21[S](2021).

    [16] Cao Y M, Li D W, Zhang Y Y et al. Inversion of a probability distribution model of soil damping ratio based on the Bayesian theory and the MCMC-MH algorithm[J]. Journal of Vibration and Shock, 40, 216-222, 277(2021).

    [18] Su M W. Study on reliability of AlGaN-based deep ultraviolet light emitting diodes[D](2021).

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    Hui Miao, Weiling Guo, Ziyuan Liu, Rongjing Wang. Lifetime Prediction of UV LEDs Based on Bayesian MCMC and Other Models[J]. Acta Optica Sinica, 2024, 44(22): 2223001

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    Paper Information

    Category: Optical Devices

    Received: May. 16, 2024

    Accepted: Jul. 25, 2024

    Published Online: Nov. 19, 2024

    The Author Email: Weiling Guo (guoweiling@bjut.edu.cn)

    DOI:10.3788/AOS241030

    CSTR:32393.14.AOS241030

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