BSIM-IMG: Compact model for RF-SOI MOSFETs

RF Modeling of FDSOI Transistors Using Industry Standard BSIM-IMG Model

Abstract: In this paper, RF modeling and step-by-step parameter extraction methodology of the BSIM-IMG model are discussed with experimental data. BSIM-IMG is the latest industry standard surface potential based model for fully depleted silicon-on-insulator (FDSOI) transistors. The impact of gate, substrate, and thermal networks is demonstrated with S-parameter data, which enable the BSIM-IMG model to capture RF behavior of the FDSOI transistor. The model is validated over a wide range of biases and frequencies and excellent agreement with the experimental data is obtained.

Thermal resistance modeling in FDSOI transistors with industry standard model BSIM-IMG

Abstract: The channel in Fully Depleted Silicon On Insulator (FDSOI) transistors is completely isolated from the substrate via buried oxide (BOX) and from the sides by shallow trench isolations, which results in high thermal resistance (Rth). Further, Rth increases with reduction in channel length (Lg). In this paper, we have proposed a compact model for the geometry and temperature dependence of Rth in FDSOI transistors. The model is validated against experimental and Technology Computer Aided Design (TCAD) data. The proposed model is implemented in the independent multi-gate model (BSIM-IMG) for FDSOI transistors. Graphical abstractThe channel in Fully Depleted Silicon On Insulator (FDSOI) transistors is completely isolated from the substrate via buried oxide (BOX) and from the sides by shallow trench isolations, which results in high thermal resistance (Rth). Further, Rth increases with reduction in channel length (Lg). In this paper, we have proposed a compact model for the geometry and temperature dependence of Rth in FDSOI transistors. The model is validated against experimental and Technology Computer Aided Design (TCAD) data. We also validate the radio-frequency (RF) model with measured high frequency data. The proposed model is implemented in the independent multigate model (BSIM-IMG) for FDSOI transistors.Display Omitted HighlightsGeometrical scaling of thermal resistance in FDSOI transistor has been analyzed.A new behavioral model for thermal resistance scaling has been proposed.The model is validated against experimental and Technology Computer Aided Design (TCAD) data.The BSIM-IMG model is validated on the measured RF characteristics for wide bias and frequency ranges.

Characterization of RF Noise in UTBB FD-SOI MOSFET

Abstract: In this paper, we report the noise measurements in the RF frequency range for ultrathin body and thin buried oxide fully depleted silicon on insulator (FD-SOI) transistors. We analyze the impact of back and front gate biases on the various noise parameters; along with discussions on the secondary effects in FD-SOI transistors which contribute to the thermal noise. Using calibrated TCAD simulations, we show that the noise figure changes with the substrate doping and buried oxide thickness.

Compact Modeling of Drain Current Thermal Noise in FDSOI MOSFETs Including Back-Bias Effect

Abstract: In this paper, we present an analytical charge-based model for thermal noise power spectral density in fully depleted silicon on insulator (FDSOI) MOSFETs. Two important aspects particular to FDSOI technology, namely, different inversion charges and different effective mobilities at front and back interfaces, are considered in the model. Proposed model is valid from weak to strong inversion regions of operation. Velocity saturation and channel length modulation are also incorporated to properly capture the excess noise in deep submicrometer MOSFETs. To test the quality of the model, standard benchmark tests are performed and asymptotic behavior of the model is validated in all regions of operation. The model is implemented in SPICE and validated with calibrated TCAD simulations as well as with experimental data of high frequency noise for wide range of back biases.

Modeling of Advanced RF Bulk FinFETs

Abstract: The modeling of the advanced RF bulk FinFETs is presented in this letter. Extensive S-parameter measurements, performed on the advanced RF bulk FinFETs, show 31% improvement in cutoff frequency over recent work [1] . The transistor’s characteristics are dominated by substrate parasitics at intermediate frequencies (0.1–10 GHz) and gate parasitics at high frequencies (above 10 GHz). The Berkeley short-channel IGFET model-common multi gate model is improved to account for the impact of substrate coupling on the RF parameters. The model demonstrates excellent agreement with the measured data over a broad range of frequencies. The model passes AC, DC and RF symmetry tests, demonstrating its readiness for (RF) circuit design using FinFETs.

Impact of distributed gate resistance on the performance of MOS devices

Abstract: This paper describes the impact of gate resistance on cut-off frequency (f/sub T/), maximum frequency of oscillation (f/sub max/), thermal noise, and time response of wide MOS devices with deep submicron channel lengths. The value of f/sub T/ is proven to be independent of gate resistance even for distributed structures. An exact relation for f/sub max/ is derived and it is shown that, to predict f/sub max/, thermal noise, and time response, the distributed gate resistance can be divided by a factor of 3 and lumped into a single resistor in series with the gate terminal. >

BSIM-IMG: A Compact Model for Ultrathin-Body SOI MOSFETs With Back-Gate Control

Abstract: In this paper, we present an accurate and computationally efficient model for circuit simulation of ultrathin-body silicon-on-insulator MOSFETs with strong back-gate control. This work advances previous works in terms of numerical accuracy, computational efficiency, and behavior of the higher order derivatives of the drain current. We propose a consistent analytical solution for the calculation of front- and back-gate surface potentials and inversion charge. The accuracy of our surface potential calculation is on the order of nanovolts. The drain current model includes velocity saturation, channel-length modulation, mobility degradation, quantum confinement effect, drain-induced barrier lowering, and self-heating effect. The model has correct behavior for derivatives of the drain current and shows an excellent agreement with experimental data for long- and short-channel devices with 8-nm-thin silicon body and 10-nm-thin BOX.

Floating effective back-gate effect on the small-signal output conductance of SOI MOSFETs

Abstract: This paper investigates the influence of the silicon substrate on the ac characteristics of silicon-on-insulator (SOI) MOSFETs. It is shown for the first time that the presence of the substrate underneath the buried oxide results in two transitions (i.e., zero-pole doublets) in the frequency response of the output conductance. It is demonstrated that the appearance of these transitions, the position and amplitude of which strongly depend on the substrate doping, is caused by the variation of the potential at substrate-buried oxide interface, which we call the Floating Effective Back-Gate (FEBG) effect. A first-order small-signal equivalent circuit is proposed to support our observations.

Extraction of Isothermal Condition and Thermal Network in UTBB SOI MOSFETs

Abstract: In this letter, we present a thermal network extraction methodology to characterize self-heating effect using two-port RF measurements. We show the technique of determining isothermal condition using only the self-heating (thermal) dominated range of the spectrum. We use a self-consistent self-heating extraction scheme using both the real and imaginary parts of drain port admittance parameters. Appropriate thermal network is investigated, and a large amount of temperature rise due to self-heating is confirmed for short channel silicon-on-insulator MOSFETs with ultrathin body and buried oxide.

Modeling the impact of substrate depletion in FDSOI MOSFETs

Abstract: In this work, we have modeled the impact of substrate depletion in fully-depleted silicon-on-insulator (FDSOI) transistor and have extensively verified the model for both NMOS and PMOS with geometrical and temperature scaling. The model has an accurate behavior for C–V and I–V characteristics and preserves the smooth behavior of the high order derivatives. Model validation is done at 50 nm technology node with state of the art FDSOI transistors provided by Low-power Electronics Association and Project (LEAP) and excellent agreement with the experimental data is achieved after parameter extraction.