Semiconductor Aging Model Partitioning Degradation for Reliability
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Solution Overview
Problem
Current integrated circuit design lacks an effective aging model to predict semiconductor degradation, making it difficult to balance reliability and cost as devices shrink to submicron sizes, and existing simulation tools like SPICE do not adequately capture how degradation mechanisms propagate under various operating conditions.
Innovation Solution
A method is developed to establish an aging model by measuring semiconductor devices under different operating conditions, partitioning total degradation into permanent and recoverable components, and analyzing differential values to determine balance points, allowing for the prediction of semiconductor degradation and optimization of design margins.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If semiconductor devices are shrunk to submicron sizes to increase integration and performance, then device functionality and product performance are improved, but aging-induced defects increase and reliability deteriorates
Solution Approach 1:
The patent applies preliminary action by establishing comprehensive aging models before actual product deployment. The methodology performs preliminary aging simulations under various operating conditions (different temperatures, voltages, frequencies) to predict degradation patterns in advance. This allows designers to optimize design margins and select appropriate devices before aging issues manifest in the field, preventing reliability problems rather than reacting to them.
Solution Approach 2:
The patent implements beforehand cushioning by introducing design margins based on predicted aging degradation. The aging models quantify expected performance degradation over time, allowing designers to add sufficient headroom to critical parameters. This cushioning effect ensures that even as devices degrade with age, they remain within acceptable operational specifications, effectively compensating for future reliability issues in the current design.
2Measurement precision
If comprehensive aging simulations are performed under various operating conditions to improve reliability prediction accuracy, then degradation prediction precision is improved, but computational complexity and time consumption increase
Solution Approach 1:
The patent applies segmentation by dividing the comprehensive aging simulation into separate, independent models for different operating conditions. Instead of performing one massive simulation covering all conditions, the methodology creates distinct aging models for different temperature ranges, voltage levels, and frequency operations. Each model can be developed and validated independently, then combined to provide comprehensive coverage. This segmentation dramatically reduces the time and computational resources needed compared to a monolithic simulation approach.
Solution Approach 2:
The patent utilizes parameter changes by developing aging models that explicitly account for variations in operating parameters such as temperature, voltage, and frequency. The methodology establishes relationships between these parameters and degradation rates, allowing the models to predict aging under any combination of conditions within the modeled ranges. This parameter-based approach enables accurate predictions without requiring separate simulations for every possible operating scenario, thus reducing overall computational burden while maintaining precision.
Data Source
AI summary
A method for establishing an aging model of a device is provided. The device is measured to obtain degradation information of the device under an operating condition, wherein the device is a physical device. The degradation information is partitioned into a permanent degradation portion and an impermanent degradation portion. The impermanent degradation portion is differentiated by time to obtain a differential value. The aging model is obtained according to the differential value. When the differential value is greater than zero, a degradation of the device increases over time, and when the differential value is less than zero, the degradation of the device decreases over time.