2015
DOI: 10.1109/ted.2015.2464076
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Analytical Compact Model for Lightly Doped Nanoscale Ultrathin-Body and Box SOI MOSFETs With Back-Gate Control

Abstract: An analytical drain-current compact model for lightly doped short-channel ultrathin-body and box fully depleted silicon-on-insulator MOSFETs with back-gate control is presented. The model includes the effects of drain-induced barrier lowering, channel-length modulation, saturation velocity, mobility degradation, quantum confinement, velocity overshoot, and self-heating. The proposed model has been validated by comparing with the experimental transfer and output characteristics of devices with the channel lengt… Show more

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Cited by 18 publications
(16 citation statements)
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“…The exponential dependence of eff on V b is in agreement with the centroid modeling approach of (5) and of [24], verifying that eff is related to the carriers position in the channel. The effective flat-band voltage power spectral density S Vfbeff is not dependent on either the channel length or the back-gate bias, thus it can be calculated using S Vfb eff = q 2 λkT N t,eff f W LC 2 ox,1 (7) where N t,eff is the effective slow oxide trap volumetric density, related the front and back interface trap densities via the coupling factor of (3b) as N t,eff = N t 1 + C 2 21 · N t 2 .…”
Section: Noise Model Unificationsupporting
confidence: 81%
“…The exponential dependence of eff on V b is in agreement with the centroid modeling approach of (5) and of [24], verifying that eff is related to the carriers position in the channel. The effective flat-band voltage power spectral density S Vfbeff is not dependent on either the channel length or the back-gate bias, thus it can be calculated using S Vfb eff = q 2 λkT N t,eff f W LC 2 ox,1 (7) where N t,eff is the effective slow oxide trap volumetric density, related the front and back interface trap densities via the coupling factor of (3b) as N t,eff = N t 1 + C 2 21 · N t 2 .…”
Section: Noise Model Unificationsupporting
confidence: 81%
“…Following the RTN modeling approach described in 2.1.d, one can build a self-contained defectaware Verilog-A module for time-domain simulations [82], [83]. For the device static response, we can use the model presented in [84], because it is threshold-voltage-based, allowing for a much more straightforward electrostatic trap impact declaration through an approximate relation:…”
Section: Defect-aware Time-domain Modulementioning
confidence: 99%
“…In our work [82], a random vertical and lateral position is chosen for each trap assuming a uniform distribution in the oxide. Moreover, for the module to be functional under both stationary and non-stationary conditions, ̅ and ̅ are initialized and then re-calculated at every change of voltage bias or temperature (see Figure 42(b)), using Equations (18) and the local inversion charge density Q iyt calculated by the model [84]. This way, this module can be also used for simulating the recoverable part of the Bias Temperature Instabilities (BTI) degradation (as shown in [82]).…”
Section: Defect-aware Time-domain Modulementioning
confidence: 99%
“…Especially, the main transistor has high drain current. Self-heating of main transistor is very serious, which offsets the uptrend of drain current induced by CLM effect [20,21].…”
Section: Introductionmentioning
confidence: 99%