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Total Ionizing Dose Effect Simulation Study on 130 nm CMOS Processor
Yi Liu1, Yuchen Liu2, Xinfang Liao3
1Shenzhen Institute of Technology, Xidian University, Shenzhen 518000, China.
This study simulates total ionizing dose (TID) effects on a 130 nm LEON2 processor. It reveals the processor's failure threshold and mechanism, guiding radiation hardening by design (RHBD) for bulk CMOS processors.
Area of Science:
- Semiconductor device physics
- Radiation effects in electronics
- Integrated circuit design
Background:
- Total ionizing dose (TID) effects pose a significant threat to the reliability of microelectronic devices.
- Understanding TID-induced leakage current in transistors is crucial for predicting system-level failures.
- SMIC 130 nm bulk CMOS technology is widely used in various applications, necessitating radiation performance analysis.
Purpose of the Study:
- To perform a system-level simulation of TID effects on a SMIC 130 nm LEON2 processor.
- To develop a compact model for NMOS transistors accounting for TID-induced leakage current.
- To determine the processor's failure threshold, failure mechanism, and power supply current behavior under irradiation.
Main Methods:
- Device-level simulations using Sentaurus TCAD for 130 nm NMOS transistors.
- Development of a Verilog-A compact model for TID-induced leakage current.
- Integration of the compact model into the SPICE netlist for system-level simulations of the LEON2 processor.
Main Results:
- The study identified the failure threshold and failure mechanism of the LEON2 processor under TID.
- An increase in power supply current with increasing irradiation dose was observed.
- The developed compact model accurately describes TID-induced leakage current in NMOS transistors.
Conclusions:
- The system-level simulation approach provides valuable insights into the radiation performance of 130 nm bulk CMOS processors.
- The findings can guide radiation performance evaluation and the implementation of radiation hardening by design (RHBD) strategies.
- Accurate compact modeling is essential for predicting system-level radiation effects.
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