2022
DOI: 10.1109/led.2022.3149898
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Improving Drain-Induced Barrier Lowering Effect and Hot Carrier Reliability With Terminal via Structure on Half-Corbino Organic Thin-Film Transistors

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Cited by 3 publications
(3 citation statements)
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“…It has to be noted that, to quantify the RDF effect, 3-D Monte-Carlo atomistic TCAD tools based on the finiteelement method are necessary to achieve sufficient accuracy. For example, the need of atomistic simulations in the accurate prediction of MOSFET variations with RDF, LER, and WFV has been demonstrated [4,6]. However, the atomistic simulations are too computationally expensive and time-consuming in device-and circuit-level statistical modeling such as the optimization of SRAM cells [15].…”
Section: Device Simulation and Modeling Methodologymentioning
confidence: 99%
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“…It has to be noted that, to quantify the RDF effect, 3-D Monte-Carlo atomistic TCAD tools based on the finiteelement method are necessary to achieve sufficient accuracy. For example, the need of atomistic simulations in the accurate prediction of MOSFET variations with RDF, LER, and WFV has been demonstrated [4,6]. However, the atomistic simulations are too computationally expensive and time-consuming in device-and circuit-level statistical modeling such as the optimization of SRAM cells [15].…”
Section: Device Simulation and Modeling Methodologymentioning
confidence: 99%
“…More short channel effects (SCEs), especially drain-induced barrier lowering (DIBL), will severely affect device channel barriers and cause transistor performance degeneration, unreliability, and loss of integrated circuit (IC) yield. DIBL referred originally to a reduction of threshold-voltage (V T ) at a higher drain bias voltage (V d ) [2][3][4]. As an important figure-of-merit (FOM) for ultra-short metal-oxidesemiconductor-field-effect-transistors (MOSFETs), DIBL has attracted great attention in recent years because it drastically influences device drive current as well as gate-tochannel controllability [4].…”
Section: Introductionmentioning
confidence: 99%
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