基于接触电阻的GFET高频等效噪声表征与建模OA北大核心CSTPCD
Characterization and modeling of high frequency equivalent noise in GFET based on contact resistance
本文提出了一种石墨烯场效应晶体管(Graphene Field Effect Transistors,GFET)的小信号等效电路模型,该模型考虑了金属-石墨烯界面的内部物理传输现象,即漏极与源极的接触电阻.提出了一种将接触电阻从等效电路中本征和寄生部分分离的方法,接触电阻有效且准确的分离能够模拟其对该器件截止频率fT和最大振荡频率fmax的影响.基于所建立的小信号等效电路,提出了GFET的高频等效噪声电路模型.噪声模型包括散粒噪声、热通道噪声和热噪声,基于这些噪声模型,在500 MHz~30 GHz的频率范围内通过噪声去嵌提取出本征噪声相关矩阵,利用其中的最小噪声系数(NFmin)得到接触电阻以及不同噪声源对高频噪声的影响.最终通过模拟数据与实测数据的验证分析,所提模型能够有效且准确的表征该器件的小信号特性以及高频噪声特性,并且接触电阻的影响不可忽略.
A small signal equivalent circuit model of Graphene Field Effect Transistors(GFET)is pro-posed,which takes into account the internal physical transmission phenomenon of metal-graphene interface,namely the contact resistance between drain and source.A method is proposed to separate the contact resis-tance from the intrinsic and parasitic parts of the equivalent circuit.The effective and accurate separation of the contact resistance can simulate its effects on the cut-off frequency fT and the maximum oscillation fre-quency fmax of the device.Based on the small signal equivalent circuit,the equivalent noise circuit model of GFET is proposed.Noise models include shot noise,thermal channel noise and thermal noise.Based on these noise models,the intrinsic noise correlation matrix is extracted by noise deembedding in the frequency range of 500 MHz~30 GHz.The minimum noise figure(NFmin)is used to obtain the contact resistance and the effect of different noise sources on the high frequency noise.Ultimately,after conducting a comprehensive rigorous validation and examination using both simulated and measured data,it has been demonstrated that the proposed model is capable of reliably and precisely capturing the small-signal and high-frequency noise characteristics of the device.It has been firmly established that neglecting the influence of contact resistance would be inappropriate,as it holds significant importance in the overall analysis.
李睿;王军
西南科技大学信息工程学院, 绵阳 621010
电子信息工程
GFET接触电阻小信号模型噪声模型S参数噪声参数
GFETContact resistanceSmall signal modelNoise modelS parameterNoise parameter
《四川大学学报(自然科学版)》 2024 (002)
127-135 / 9
国家自然科学基金(69901003);四川省教育厅科研基金(18ZA0502)
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