Low-Frequency Noise Spectroscopy of Bulk and Border Traps in Nanoscale Devices

Author:

Simoen Eddy,Cretu Bogdan1,Fang Wen2,Aoulaiche Marc3,Routoure Jean Marc4,Carin Regis4,Luo Jun5,Zhao Chao6,Claeys Cor

Affiliation:

1. ENSICAEN, UMR 6072 GREYC

2. Imnstitute of Microelectronics (Imecas)

3. Micron Technology Belgium

4. University of Caen

5. Institute of Microelectroncis (Imecas)

6. Institute of Microelectronics (Imecas)

Abstract

The principles and application of Generation-Recombination (GR) noise spectroscopy will be outlined and illustrated for the case of traps in Ultra-Thin Buried Oxide Silicon-on-Insulator nMOSFETs and for vertical polycrystalline silicon nMOSFETs. It will be shown that for scaled devices the GR noise is originating from a single defect, giving rise to a so-called Random Telegraph Signal (RTS). Several methods will be described for an accurate extraction of the RTS parameters (amplitude, up and down time constant). It will be demonstrated that besides the deep-level parameters also the position of the trap in the channel can be derived from a numerical modeling of the RTS amplitude.

Publisher

Trans Tech Publications, Ltd.

Subject

Condensed Matter Physics,General Materials Science,Atomic and Molecular Physics, and Optics

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. RTS Noise Characterization of Trap Properties in InGaAs nFinFETs;IEEE Transactions on Electron Devices;2023-07

2. Experimental Study Of Interface & Bulk Defectivity In Ultra-Thin BEOL Dielectrics By Using Low Frequency Noise Spectroscopy;2023 IEEE International Interconnect Technology Conference (IITC) and IEEE Materials for Advanced Metallization Conference (MAM)(IITC/MAM);2023-05

3. Device Performance as a Metrology Tool to Detect Metals in Silicon;physica status solidi (a);2019-08-08

4. Defect characterization of amorphous silicon thin film solar cell based on low frequency noise;Science China Information Sciences;2018-04-11

5. RTS in memory and imager circuits;Random Telegraph Signals in Semiconductor Devices;2017

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