학술논문

Strategies for parameter extraction of the time constant distribution of time-dependent variability models for nanometer-scale devices
Document Type
Conference
Source
2023 19th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD) Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD), 2023 19th International Conference on. :1-4 Jul, 2023
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Signal Processing and Analysis
Analytical models
Stochastic processes
Nanoscale devices
Circuit synthesis
Data mining
Integrated circuit modeling
Parameter extraction
time-dependent variability
modeling
parameter extraction
characterization
Language
ISSN
2575-4890
Abstract
Time-dependent variability phenomena are stochastic and discrete for nanometer-scale technologies, and, hence, must be statistically characterized. These phenomena are attributed to the emission and capture of charges in device defects. This paper explores two different strategies to extract, from experimental data, the distribution parameters of the time constants of the defects. It delves into the accuracy of each strategy, showing how the extraction strategy can have a huge impact on the accuracy and the amount of characterization data required, and, therefore, on the amount of (expensive) characterization time in the lab.