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  4. Efficient Characterization Methodology for Low-Frequency Noise Monitoring
 
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2024
Conference Paper
Title

Efficient Characterization Methodology for Low-Frequency Noise Monitoring

Abstract
In this work, a novel methodology to characterize the Low-Frequency Noise LFN on large device statistics and suitable for production monitoring is proposed. The maximum drain current fluctuations over time are measured. The slope of the LFN distribution is modeled with physical equations related to the basic device properties. The approach is validated by studying the impact of transistor geometry (different gate width, number of fingers and gate length) as well as gate oxide thickness and characterization temperature. In conclusion, the proposed methodology is tested evaluating different process integration elements. The outcome is compared to classical LFN read-out for final confirmation.
Author(s)
Pirro, Luca
Global Foundries, Germany
Chohan, Talha
Global Foundries, Germany
Liebscher, Philipp
Global Foundries, Germany
Juettner, Maximilian
Global Foundries, Germany
Holzmueller, Felix
Global Foundries, Germany
Jain, Ruchil
Global Foundries, Germany
Raffel, Yannick
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Seidel, Konrad  
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Olivo, Ricardo Revello
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
Zaka, Alban
Global Foundries, Germany
Hoentschel, Jan
Global Foundries, Germany
Mainwork
IEEE International Conference on Microelectronic Test Structures
Funder
Bundesministerium für Wirtschaft und Klimaschutz  
Conference
36th IEEE International Conference on Microelectronic Test Structures, ICMTS 2024
DOI
10.1109/ICMTS59902.2024.10520698
Language
English
Fraunhofer-Institut für Photonische Mikrosysteme IPMS  
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