# Efficient Modeling of Single Event Transient Effect with Limited Peak Current: Implications for Logic Circuits

**Authors:** Yujian Wang, Hongliang Lu, Caozhen Yang, Yutao Zhang, Ruxue Yao, Rui Dong, Yuming Zhang

PMC · DOI: 10.3390/mi15070885 · Micromachines · 2024-07-05

## TL;DR

This paper introduces a new model for predicting transient currents in logic circuits to improve the accuracy of soft error rate calculations.

## Contribution

The PDE model provides a more accurate and realistic representation of transient currents compared to the conventional DE model.

## Key findings

- The PDE model better aligns with TCAD simulations for single event transient currents.
- SER calculated using the PDE model has a smaller error compared to the DE model.

## Abstract

The problem that the conventional double-exponential transient current model (DE model) can overdrive the circuit, which leads to the overestimation of the soft error rate of the logic cell, is solved. Our work uses a new and accurate model for predicting the soft error rate that brings the soft error rate closer to the actual. The piecewise double-exponential transient current model (PDE model) is chosen, and the accuracy of the model is reflected using the Layout Awareness Single Event Multi Transients Soft Error Rate Calculation tool (LA-SEMT-SER tool). The model can characterize transient current pulses piecewise and limit the peak current magnitude to not exceed the conduction current. TCAD models are constructed from 28 nm process library and cell layouts. The transfer characteristic curves of devices are calibrated, and functional timing verification is performed to ensure the accuracy of the TCAD model. The experimental results show that the PDE model is not only more consistent with TCAD simulation than the DE model in modeling the single event transient currents of the device, but also that the SER calculated by the LA-SEMT-SER tool based on the PDE model has a smaller error than the SER calculated by the LA-SEMT-SER tool based on the DE model.

## Full-text entities

- **Diseases:** PDE (MESH:C536254), injury to people or property (MESH:C000719191)
- **Chemicals:** SEMT (-)
- **Cell lines:** NOR2 — Mus musculus (Mouse), Spontaneously immortalized cell line (CVCL_3939), NAND2 — Homo sapiens (Human), Colon carcinoma, Cancer cell line (CVCL_A628)

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11278550/full.md

## References

27 references — full list in the complete paper: https://tomesphere.com/paper/PMC11278550/full.md

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Source: https://tomesphere.com/paper/PMC11278550