Numerical Studies of I-V Characteristics in Resonant Tunneling Diodes: A Survey of Convergence

Authors

DOI:

https://doi.org/10.4208/jcm.2410-m2024-0037

Keywords:

Schrödinger equation, Transfer matrix methods, Resonant tunneling diodes, Tunneling bias

Abstract

Resonant tunneling diodes (RTDs) exhibit a distinctive characteristic known as negative resistance. Accurately calculating the tunneling bias energy is indispensable for the design of quantum devices. This paper conducts a thorough investigation into the current-voltage (I-V) characteristics of RTDs utilizing various numerical methods. Through a series of numerical experiments, we verified that the transfer matrix method ensures robust convergence in I-V curves and proficiently determines the tunneling bias for energy potential functions with discontinuities. Our numerical analysis underscores the significant impact of variations in effective mass on I-V curves, emphasizing the need to consider this effect. Furthermore, we observe that increasing the doping concentration results in a reduction in tunneling bias and an enhancement in peak current. Leveraging the unique features of the I-V curve, we employ shallow neural networks to accurately fit the I-V curves, yielding satisfactory results with limited data.

Author Biographies

  • Xingming Gao

    School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China

  • Haiyan Jiang

    School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China

  • Tiao Lu

    CAPT, LMAM, and School of Mathematical Sciences, Peking University, Beijing 100871, P.R. China; Chongqing Research Institute of Big Data, Peking University, Chongqing 401121, P.R. China

  • Wenqi Yao

    School of Mathematics, South China University of Technology, Guangzhou 510641, China

Published

2025-11-20

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How to Cite

Numerical Studies of I-V Characteristics in Resonant Tunneling Diodes: A Survey of Convergence. (2025). Journal of Computational Mathematics, 44(1), 232-247. https://doi.org/10.4208/jcm.2410-m2024-0037