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

Micromachines (Basel)

Key Laboratory for Wide Band Gap Semiconductor Materials and Devices of Education Ministry, School of Microelectronics, Xidian University, Xi'an 710071, China.

Published: July 2024

AI Article Synopsis

  • The conventional double-exponential transient current model (DE model) often overestimates the soft error rate of logic cells, leading to issues in circuit performance.
  • This study introduces a more accurate piecewise double-exponential transient current model (PDE model) that better predicts the soft error rate by using the Layout Awareness Single Event Multi Transients Soft Error Rate Calculation tool (LA-SEMT-SER).
  • Experimental results demonstrate that the PDE model aligns more closely with TCAD simulations than the DE model, providing a reduced error in soft error rate calculations.

Article 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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11278550PMC
http://dx.doi.org/10.3390/mi15070885DOI Listing

Publication Analysis

Top Keywords

soft error
16
error rate
16
single event
12
transient current
12
model
12
pde model
12
la-semt-ser tool
12
modeling single
8
event transient
8
peak current
8

Similar Publications

Study of spectral overlap and heterogeneity in agriculture based on soft classification techniques.

MethodsX

June 2025

Department of Biological and Pharmaceutical Environmental Sciences and Technologies, University of Campania "L. Vanvitelli", Via Antonio Vivaldi, 43, Caserta 81100, CE, Italy.

This study explores the application of fuzzy soft classification techniques combined with vegetation indices to address spectral overlap and heterogeneity in agricultural image processing. The methodology focuses on the integration of three key vegetation indices: Soil-Adjusted Vegetation Index (SAVI), Modified Soil-Adjusted Vegetation Index (MSAVI), and Modified Chlorophyll Absorption in Reflectance Index (MCARI), with Modified Possibilistic C-Means (MPCM) clustering. The analysis involves preprocessing the image data, calculating the vegetation indices, and applying the MPCM algorithm to perform soft classification, allowing pixels to belong to multiple classes with varying degrees of membership.

View Article and Find Full Text PDF

Sensorless model-based tension control for a cable-driven exosuit.

Wearable Technol

December 2024

Sensory Motor Systems Lab, Department of Health Sciences and Technology, ETH Zürich, Zürich, Switzerland.

Cable-driven exosuits have the potential to support individuals with motor disabilities across the continuum of care. When supporting a limb with a cable, force sensors are often used to measure tension. However, force sensors add cost, complexity, and distal components.

View Article and Find Full Text PDF

Optimizing gelation time for cell shape control through active learning.

Soft Matter

January 2025

Department of Mechanical Engineering and Materials Science, Yale University, New Haven, CT 06510, USA.

Hydrogels are popular platforms for cell encapsulation in biomedicine and tissue engineering due to their soft, porous structures, high water content, and excellent tunability. Recent studies highlight that the timing of network formation can be just as important as mechanical properties in influencing cell morphologies. Conventionally, time-dependent properties can be achieved through multi-step processes.

View Article and Find Full Text PDF

As surgeons, we strive to recognize and correct any mistakes that may occur before completing an operation, and importantly, do our best to avoid irreversible mistakes. Over-resection of the femoral cam lesion in patients having hip arthroscopy for femoroacetabular impingement syndrome has been considered irreversible. While cam under-resection is a technical complication of femoroacetabular impingement surgery to be avoided, avoiding this at the expense of over-resection of the proximal femur is of great concern.

View Article and Find Full Text PDF

Comparing analog and 3D measurements of vertical dimension in edentulous subjects.

J Dent

January 2025

Clinic of General-, Special Care- and Geriatric Dentistry, Center for Dental Medicine, University of Zurich, Zurich, Switzerland; School of Dentistry, Federal University of Goiàs, Goiania, Brazil; Department of Reconstructive Dentistry, Division of Gerodontology, School of Dental Medicine, University of Bern, Bern, Switzerland.

Objective: This study aimed to explore the feasibility and reliability of measuring the vertical dimension of occlusion/rest (OVD/RVD) on 3D facial scans of edentulous patients.

Methods: Nineteen edentulous participants rehabilitated with complete removable dental prostheses (CDs) participated in this study. Analog measurements (control) were obtained directly on the face for each participant with the jaws positioned at the rest position (without CDs, RVD) and at central occlusion (OVD), between the facial landmarks: Glabella (G) and Soft Pogonion (SP), Pronasale (PN) and SP, and Subnasale (SN) and SP.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!