The Random Telegraph Noise (RTN) in an advanced Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) is considered to be triggered by just one electron or one hole, and its importance is recognised upon the aggressive scaling. However, the detailed nature of the charge trap remains to be investigated due to the difficulty to find out the exact device, which shows the RTN feature over statistical variations. Here, we show the RTN can be observed from virtually all devices at low temperatures, and provide a methodology to enable a systematic way to identify the bias conditions to observe the RTN. We found that the RTN was observed at the verge of the Coulomb blockade in the stability diagram of a parasitic Single-Hole-Transistor (SHT), and we have successfully identified the locations of the charge traps by measuring the bias dependence of the RTN.
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http://dx.doi.org/10.1038/s41598-017-18579-1 | DOI Listing |
Nat Commun
December 2024
Engineering Science and Mechanics, Penn State University, University Park, PA, 16802, USA.
Nanoscale
December 2024
Solid State and Structural Chemistry Unit, Indian Institute of Science, Bangalore, Karnataka-560012, India.
Most realizations of memristive devices exhibit characteristic noise sometimes described as random telegraph noise. These fluctuations in current, ubiquitous in nature, carry significant implications for device performance, reliability, and the broader landscape of memristor technology applications. Here, we study inherent random fluctuations observed in silver based granular memristive devices operating under steady bias conditions.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
October 2024
Department of Physics, McGill University, Montréal, QC H3A 2T8, Canada.
We use electrostatic force microscopy to spatially resolve random telegraph noise at the Si/SiO interface. Our measurements demonstrate that two-state fluctuations are localized at interfacial traps, with bias-dependent rates and amplitudes. These two-level systems lead to correlated carrier number and mobility fluctuations with a range of characteristic timescales; taken together as an ensemble, they give rise to a [Formula: see text] power spectral trend.
View Article and Find Full Text PDFSci Rep
October 2024
Centre for Quantum Technologies, National University of Singapore, 3 Science Drive 2, Singapore, 117543, Singapore.
ACS Nano
October 2024
Electrical and Computer Engineering, New York University, Brooklyn, New York 11201, United States.
Single-crystal hexagonal boron nitride (hBN) is used extensively in many two-dimensional electronic and quantum devices, where defects significantly impact performance. Therefore, characterizing and engineering hBN defects are crucial for advancing these technologies. Here, we examine the capture and emission dynamics of defects in hBN by utilizing low-frequency noise (LFN) spectroscopy in hBN-encapsulated and graphene-contacted MoS field-effect transistors (FETs).
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