Showing posts with label mobility. Show all posts
Showing posts with label mobility. Show all posts

Jan 8, 2024

[paper] Compact Model of Graphene FETs

Nikolaos Mavredakis, Anibal Pacheco-Sanchez, Oihana Txoperena,
Elias Torres, and David Jiménez
A Scalable Compact Model for the Static Drain Current of Graphene FETs
IEEE TED, Vol. 71, No. 1, January 2024
DOI:  10.1109/TED.2023.3330713

1 Departament d’Enginyeria Electrònica, Escola d’Enginyeria, UAB, 08193 Bellaterra, Spain
2 Graphenea Semiconductor SLU, 20009 San Sebastián, Spain.

Abstract: The main target of this article is to propose for the first time a physics-based continuous and symmetric compact model that accurately captures I–V experimental dependencies induced by geometrical scaling effects for graphene field-effect transistor (GFET) technologies. Such a scalable model is an indispensable ingredient for the boost of large-scale GFET applications, as it has been already proved in solid industry-based CMOS technologies. Dependencies of the physical model parameters on channel dimensions are thoroughly investigated, and semi-empirical expressions are derived, which precisely characterize such behaviors for an industry-based GFET technology, as well as for others developed in the research laboratory. This work aims at the establishment of the first industry standard GFET compact model that can be integrated in circuit simulation tools and, hence, can contribute to the update of GFET technology from the research level to massive industry production.

Fig: Graphenea GFET schematic cross-section not drawn to scale. Graphene under metal contacts is not shown.The drain current has explicit derivation in respect to Qgr, where Qt and Qp(n) are the transport sheet and p(n)-type charges, respectively; Vc is the chemical potential, h is the reduced Planck constant, uf is the Fermi velocity, e is the electron charge, and k is a coefficient. Qt and, thus, ID can be calculated according to Vc polarity at source (Vcs) and drain (Vcd), respectively. Hence, at n-type region where Vcs, Vcd > 0 and Qp = 0

Acknowledgements: This work was supported in part by the European Union’s Horizon 2020 Research and Innovation Program GrapheneCore3 under Grant 881603; in part by the Ministerio de Ciencia, Innovación y Universidades under Grant RTI2018-097876-B-C21 (MCIU/AEI/ FEDER, UE), Grant FJC2020-046213-I, and Grant PID2021-127840NBI00 (MCIN/AEI/FEDER, UE); in part by the European Union Regional Development Fund within the Framework of the ERDF Operational Program of Catalonia 2014–2020 with the Support of the Department de Recerca i Universitat, with a grant of 50% of Total Cost Eligible; and in part by the GraphCAT Project under Grant 001-P-001702. 

Mar 18, 2022

[paper] Electron Mobility Distribution in FD-SOI MOSFETs

Nima Dehdashti Akhavana, Gilberto Antonio Umana-Membrenoa, Renjie Gua, Jarek Antoszewskia, Lorenzo Faraonea and Sorin Cristoloveanub
Electron mobility distribution in FD-SOI MOSFETs using a NEGF-Poisson approach
Solid-State Electronics; Available online 14 March 2022, 108283
DOI: 10.1016/j.sse.2022.108283
   
a The University of Western Australia, Crawley (AU)
b IMEP-LAHC, INP Minatec, Grenoble (F)


Abstract: Modern electronic devices consist of several semiconductor layers, where each layer exhibits a unique carrier transport properties that can be represented by a unique mobility characteristic. To date, the mobility spectrum analysis technique is the main approach that has been developed and applied to the analysis of conductivity mechanisms of multi-carrier semiconductor structures and devices. Currently, there are no theoretical calculations of the mobility distribution in semiconductor structures or devices and specifically in MOSFET devices. In this article, we present a theoretical study of the electron mobility distribution in planar fully-depleted silicon-on-insulator (FD-SOI) transistors employing quantum mechanical modelling. The simulation results indicate that electronic transport in the 10 nm thick Si channel layer at room-temperature is due to two distinct and well-defined electron species for channel length varying from 50 nm to 200 nm. The two electron mobility distributions provide clear evidence of sub-band modulated transport in 10-nm thick Si planar FD-SOI MOSFETs that are associated with primed and non-primed valleys of silicon. The potential of the top gate electrode has been modulated, and thus only the top channel inversion-layer electron population transport parameters have been investigated employing self-consistent non-equilibrium Green’s function (NEGF)–Poisson numerical calculations. The numerical framework presented can be used to interpret experimental results obtained by magnetic-field dependent geometrical magnetoresistance measurements and mobility spectrum analysis, and provides greater insight into electron mobility distributions in nanostructured FET devices.

Fig: Qinv is defined as the electron density per unit length at the maximum 
of the first subband (top of the barrier) often referred to as a “virtual source”

Acknowledgements: This work was supported by the Australian Research Council (DP170104555), the Horizon 2020 ASCENT EU project (Access to European Nanoelectronics Network – Project no. 654384), the Western Australian node of the Australian National Fabrication Facility (ANFF), and the Western Australian Government’s Department of Jobs, Tourism, Science and Innovation.






Mar 16, 2022

[paper] Cryogenic Temperature Effects in 10-nm Bulk CMOS FinFETs

Sujit K. Singh, Sumreti Gupta, Reinaldo A. Vega* and Abhisek Dixit
Accurate Modeling of Cryogenic Temperature Effects in 10-nm Bulk CMOS FinFETs Using the BSIM-CMG Model
in IEEE Electron Device Letters
DOI: 10.1109/LED.2022.3158495.
  
 Indian Institute of Technology, New Delhi (IN)
*IBM Research, Albany, NY (USA)

Abstract: In this letter, we have proposed modifications to the existing BSIM-CMG compact model to enhance its ability to model the behavior of short channel bulk FinFETs (both n and p-type) from room temperature down to cryogenic temperatures (10K). The proposed model is highly accurate in capturing the subthreshold swing, threshold voltage, and effective mobility trends observed in FinFET cryogenic operation. For efficient optimization of the proposed model parameters, we have proposed an adequate modeling strategy. We have compared convergence time between the existing BSIM-CMG model and the proposed model by simulating a reasonably large circuit using pseudo-inverters.

Fig (a) TEM image of the fin cross-section (b) Measured device layout-related parameters 




Apr 13, 2021

[papers] Compact Modeling

[1] Zhang, Yuanke, Tengteng Lu, Wenjie Wang, Yujing Zhang, Jun Xu, Chao Luo, and Guoping Guo. "Characterization and Modeling of Native MOSFETs Down to 4.2 K." arXiv:2104.03094 (2021).

Abstract: The extremely low threshold voltage (VTH) of native MOSFETs (VTH≈0 V @ 300 K) is conducive to the design of cryogenic circuits. Previous research on cryogenic MOSFETs mainly focused on the standard threshold voltage (SVT) and low threshold voltage (LVT) MOSFETs. In this paper, we characterize native MOSFETs within the temperature range from 300 K to 4.2 K. The cryogenic VTH increases up to ∼0.25 V (W/L = 10 µm/10 µm) and the improved subthreshold swing (SS) ≈ 14.30 mV/dec @ 4.2 K. The off-state current (IOFF) and the gate-induced drain leakage (GIDL) effect are ameliorated greatly. The step-up effect caused by the substrate charge and the transconductance peak effect caused by the energy quantization in different subbands are also discussed. Based on the EKV model, we modified the mobility calculation equations and proposed a compact model of large size native MOSFETs suitable for the range of 300 K to 4.2 K. The mobility-related parameters are extracted via a machine learning approach and the temperature dependences of the scattering mechanisms are analyzed. This work is beneficial to both the research on cryogenic MOSFETs modeling and the design of cryogenic CMOS circuits for quantum chips.
Fig: I-V curves of native MOSFETs with W/L= 10/10µm measured (symbol) and calculated (solid line) at various temperatures. (a) Acomparison of the calculation results between this model and the  EKV2.6 model at 77K and 4.2K. (b) Measurement and calculation results of  the output characteristic at 4.2 K.

[2] Qixu Xie  Guoyong Shi; An analytical gm/ID‐based harmonic distortion prediction method for multistage operational amplifiers; Int J Circ Theor Appl. 2021; 1– 27. DOI: 10.1002/cta.3012

Abstract: An analytical stage‐based harmonic distortion (HD) analysis method for multistage operational amplifiers (Op Amps) is developed in this work. This work contributes two fundamental methods that make the analytical HD prediction possible at the circuit level. Firstly, we propose that the traditionally used first order small‐signal transistor quantities gm (transconductance) and go (output conductance) in the gm/ID design methodology for bulk complementary metal‐oxide‐semiconductor (CMOS) technology can be extended to the higher order quantities gm(k) and go(k) (k=1,2,3). With proper normalization, these quantities become neutral to the device dimensions and operation currents, hence can be precharacterized by sweeping simulations and used as lookup tables. Secondly, we further develop analytical nonlinearity expressions for a set of commonly used amplifier stages, represented as the functions of the nonlinearity parameters gm(k) and go(k) of the transistors that form a stage circuit. A combination of these two fundamental methods on hierarchical nonlinearity modeling enables us to apply the existing analytical HD estimation methods for the stage‐form macromodels to predict the circuit‐level HD behavior, overcoming the need of running repeated simulations under device resizing and rebiasing. The proposed harmonic distortion analysis method has been validated by application to real multistage amplifiers, achieving HD prediction results in excellent agreement to fully transistor‐level circuit simulation results but with substantial speedup.

Oct 7, 2020

[paper] Parameter Extraction in JFETs

Nikolaos Makris1, Matthias Bucher1, Member, IEEE, Loukas Chevas1, Farzan Jazaeri2
and Jean-Michel Sallese2
Free Carrier Mobility, Series Resistance, and Threshold Voltage Extraction
in Junction FETs
in IEEE Transactions on Electron Devices, 
Special Section on ESSDERC/ESSCIRC 2020
DOI: 10.1109/TED.2020.3025841.

1School of Electrical and Computer Engineering, TU Crete (GR)
2Ecole Polytechnique Fédérale de Lausanne, EPFL (CH)

Abstract: In this brief, extraction methods are proposed for determining the essential parameters of double gate junction field-effect transistors (FETs). First, a novel method for determining free carrier effective mobility, similar to a recently proposed method for MOSFETs, is developed. The same method is then extended to cover also the case when series resistance is present, while series resistance itself may be determined from the measurement from two FETs with different channel lengths. The key technological and design parameter is the threshold voltage, which may be unambiguously determined from the transconductance-to-current ratio with a constant-current method. The new methods are shown to be effective over a wide range of technical parameters, using technology computer-aided design simulations.

Fig: Extraction of carrier mobility for DG JFETs in linear region at 300K 
a) corresponding output conductance gds and constituents ∂gds/∂Vds and 2Qsc,d/b, and 
b) extracted mobility for long- and moderate-length devices close agreement with the constant, nonfield-dependent mobility (μ = 826 cm2/Vs) used in the TCAD simulations.

Aknowlegement: This work was supported in part by the INNOVATION-EL-Crete Project under Grant MIS 5002772.