RPP-model trends across technology nodes for the MC simulation of SEUs in commercial bulk planar CMOS SRAMs under proton irradiation

The ubiquitous use of electronic devices in high-radiation environments requires robust methods for assessing and improving their resilience against single-event effects and, especially, single-event upsets (SEUs). In this study, SEU production induced by protons below 500 MeV in three commercial bu...

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Bibliographic Details
Published in:IEEE transactions on nuclear science 2024-12, p.1-1
Main Authors: Serban, Alexandra-Gabriela, Coronetti, Andrea, Alia, Ruben Garcia, Salvat-Pujol, Francesc
Format: Article
Language:English
Subjects:
critical charge
FLUKA
Integrated circuit modeling
Ions
Monitoring
Monte Carlo simulation
Production
Protons
Random access memory
RPP model
Semiconductor device modeling
sensitive volume
Single event upsets
Single-event effects (SEEs)
single-event upsets (SEUs)
Solid modeling
technology node
technology trend
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Summary:The ubiquitous use of electronic devices in high-radiation environments requires robust methods for assessing and improving their resilience against single-event effects and, especially, single-event upsets (SEUs). In this study, SEU production induced by protons below 500 MeV in three commercial bulk planar static random access memories (SRAMs) manufactured on different standard CMOS technology nodes (from 250 nm to 40 nm) is investigated employing the Monte Carlo particle-transport code FLUKA. A rectangular parallelepiped (RPP) model is adopted to describe the device geometry, relying on the sensitive volume and the critical charge as effective parameters. Optimal values of these two parameters which maximize the agreement between simulated and experimental SEU production cross sections are found for the three considered devices. Parameter trends in the RPP-model across technology nodes are identified, thus providing practical guidelines when modelling components manufactured on other technology nodes.
ISSN:0018-9499
DOI:10.1109/TNS.2024.3520506