Title :
Monte Carlo Prediction of Heavy Ion Induced MBU Sensitivity for SOI SRAMs Using Radial Ionization Profile
Author :
Raine, Mélanie ; Hubert, Guillaume ; Gaillardin, Marc ; Paillet, Philippe ; Bournel, Arnaud
Author_Institution :
DAM, CEA, Arpajon, France
Abstract :
The simulation methodology coupling radial ionization profiles issued from Geant4 and the SEE prediction tool MUSCA SEP3 is used to investigate the MBU sensitivity of SOI SRAM cells of different technologies. The simulation approach is first validated against experimental results for a 45 nm SOI SRAM cell, showing very good agreement. The variability of the MBU probability is then studied depending on various parameters. A worst case is identified, for a particular data pattern irradiated with a high LET ion at grazing angle, showing the possibility for three- and four-bit events to occur. The cause for these high multiplicities is identified by examining the cells topology and new design by hardening strategies are proposed to improve the device hardness to MBU, for a 32 nm SOI SRAM cell. The possibilities of the SEE prediction tool for bulk devices are finally discussed.
Keywords :
Monte Carlo methods; SRAM chips; ion beam effects; radiation hardening (electronics); Geant4; Heavy ion Induced MBU sensitivity; MBU probability; MUSCA SEP3; Monte Carlo prediction; SEE prediction tool; SOI SRAM cells; SOI SRAMs; cells topology; coupling radial ionization profiles; data pattern; device hardness; four-bit events; grazing angle; hardening strategies; high LET ion; simulation methodology; single event effects; size 32 nm; size 45 nm; three-bit events; Ions; Monte Carlo methods; SRAM chips; Sensitivity; Silicon on insulator technology; Single event upset; Topology; Geant4; MBU; Monte Carlo; SEU prediction tool; SRAM cell;
Journal_Title :
Nuclear Science, IEEE Transactions on
DOI :
10.1109/TNS.2011.2168238