A physics based model for the RTD quantum capacitance

被引：39
|
作者：
Lake, R [1 ]
Yang, JJ [1 ]
机构：
[1] Univ Calif Riverside, Dept Elect Engn, Riverside, CA 92521 USA
来源：
IEEE TRANSACTIONS ON ELECTRON DEVICES | 2003年 / 50卷 / 03期
关键词：
capacitance; circuit modeling; resonant tunnel diodes; semiconductor device modeling; tunnel diode oscillators;
D O I：
10.1109/TED.2003.811390
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A simple derivation of the form for the compact model of the quantum capacitance in a resonant tunneling diode (RTD) is presented. The quantum capacitance is shown to reduce the, resistive cutoff frequency. The implementation of the model into SPICE is described. The distorting effect of the strongly nonlinear quantum capacitance on an oscillator circuit is demonstrated in a SPICE simulation. The nonlinearity becomes important for the highest frequency applications when the RTD capacitance is comparable to the capacitance in the rest of the circuit.
引用
收藏
页码：785 / 789
页数：5
相关论文
共 50 条
  • [31] Model Estimates of the Quantum Capacitance of Graphene-Like Nanostructures
    S. Yu. Davydov
    A. A. Lebedev
    A. V. Zubov
    P. V. Bulat
    Technical Physics Letters, 2020, 46 : 1174 - 1176
  • [32] An exactly solvable model for the graphene transistor in the quantum capacitance limit
    Parrish, Kristen N.
    Akinwande, Deji
    APPLIED PHYSICS LETTERS, 2012, 101 (05)
  • [33] Analytical quantum mechanical model for accumulation capacitance of MOS structures
    Saito, S
    Torii, K
    Hiratani, M
    Onai, T
    IEEE ELECTRON DEVICE LETTERS, 2002, 23 (06) : 348 - 350
  • [34] Model Estimates of the Quantum Capacitance of Graphene-Like Nanostructures
    Davydov, S. Yu
    Lebedev, A. A.
    Zubov, A., V
    Bulat, P., V
    TECHNICAL PHYSICS LETTERS, 2020, 46 (12) : 1174 - 1176
  • [35] Physics-constrained deep learning forecasting: an application with capacitance resistive model
    Abderrahmane Yewgat
    Daniel Busby
    Max Chevalier
    Corentin Lapeyre
    Olivier Teste
    Computational Geosciences, 2022, 26 : 1065 - 1100
  • [36] Physics-constrained deep learning forecasting: an application with capacitance resistive model
    Yewgat, Abderrahmane
    Busby, Daniel
    Chevalier, Max
    Lapeyre, Corentin
    Teste, Olivier
    COMPUTATIONAL GEOSCIENCES, 2022, 26 (04) : 1065 - 1100
  • [37] DNA as a perfect quantum computer based on the quantum physics principles
    Aroche, R. Riera
    Garcia, Y. M. Ortiz
    Arellano, M. A. Martinez
    Leal, A. Riera
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [38] Anomalous capacitance-voltage profiles in quantum wells explained by a quantum mechanical model
    Kundu, S
    Biswas, D
    Datta, R
    JOURNAL OF APPLIED PHYSICS, 1997, 81 (04) : 2030 - 2032
  • [39] A quantum mechanical model for analysing capacitance-voltage profiles in quantum-wells.
    Biswas, D
    Kundu, S
    Datta, R
    COMPOUND SEMICONDUCTORS 1995, 1996, 145 : 1271 - 1276
  • [40] On the implementation of RTD based CNNS
    Li, SR
    Mazumder, P
    Chua, LO
    2004 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL 3, PROCEEDINGS, 2004, : 25 - 28
12345