1. Low frequency noise variability in ultra scaled FD-SOI n-MOSFETs: Dependence on gate bias, frequency and temperature
- Author
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Emmanuel Josse, Sebastien Haendler, Gerard Ghibaudo, C.A. Dimitriadis, Christoforos G. Theodorou, E. G. Ioannidis, Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation (IMEP-LAHC ), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), STMicroelectronics [Crolles] (ST-CROLLES), Aristotle University of Thessaloniki, Department of Physics, and European Project: 325633,EC:FP7:SP1-JTI,ENIAC-2012-2,PLACES2BE(2012)
- Subjects
Materials science ,Noise variability ,Infrasound ,Gate dielectric ,RTN ,Silicon on insulator ,02 engineering and technology ,Trapping ,01 natural sciences ,Noise (electronics) ,Standard deviation ,Low-frequency noise ,0103 physical sciences ,Materials Chemistry ,Electrical and Electronic Engineering ,[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics ,Parametric statistics ,010302 applied physics ,business.industry ,Noise spectral density ,Electrical engineering ,021001 nanoscience & nanotechnology ,Condensed Matter Physics ,Electronic, Optical and Magnetic Materials ,FD-SOI MOSFETs ,Optoelectronics ,0210 nano-technology ,business - Abstract
International audience; In this paper, a parametric statistical analysis of the low-frequency noise (LFN) in very small area (W·L ≈ 10−3 μm2) 14 nm fully depleted silicon-on-insulator (FD-SOI) n-MOS devices is presented. It has been demonstrated that the LFN origin is due to carrier trapping/detrapping into gate dielectric traps near the interface and the mean noise level in such small area MOSFETs is well approached by the carrier number fluctuations model in all measurement conditions. The impact of gate voltage bias and temperature on the LFN variability, as well as the standard deviation dependence on frequency have been studied for the first time, focusing on their relation to the Random Telegraph Noise (RTN) effect and its characteristics.
- Published
- 2016
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