In-Situ Semiconductor Aging Sensor Network for Real-Time Degradation Monitoring
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Solution Overview
Problem
Existing semiconductor technologies lack an accurate method to model and measure the aging of semiconductors and functional blocks, leading to unpredictable system performance and reliability, as previous approaches fail to account for individual chip behavior and circuit switching patterns.
Innovation Solution
In-situ positioning of reliability sensors within each functional block and critical locations of a semiconductor system, optimized for maximum sensitivity, which model the aging process and comprise a network of stages with self-digitization capabilities, allowing for real-time monitoring and modification of the semiconductor system to reduce degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If in-situ reliability sensors are positioned within each functional block and critical locations, then measurement precision of semiconductor aging is improved, but device complexity increases
Solution Approach 1:
The semiconductor system is divided into multiple functional blocks, each equipped with its own reliability sensor. This segmentation allows localized aging measurement in each block, improving overall measurement precision while distributing the complexity across modular units rather than requiring a monolithic complex system
Solution Approach 2:
Reliability sensors are positioned to mirror the functional blocks they monitor, creating simplified copies that replicate the aging behavior of the actual circuits. These sensor copies provide accurate aging data without requiring direct measurement of the complex functional blocks themselves
2Reliability
If sensors are optimized for maximum sensitivity to process variations, then reliability monitoring capability is improved, but manufacturing precision requirements increase
Solution Approach 1:
Sensors are positioned at specific critical locations within functional blocks where process variations have the greatest impact on reliability. This local quality approach concentrates sensing capability at strategically important points rather than requiring uniform high-precision sensing across the entire chip, reducing overall manufacturing precision requirements
Solution Approach 2:
The sensor design incorporates adjustable sensitivity parameters that can be tuned to detect process variations at different levels. This allows the system to achieve reliable monitoring capability through parameter optimization rather than requiring extreme manufacturing precision in sensor placement
3Measurement precision
If sensors model the aging process of functional blocks, then reliability prediction accuracy is improved, but loss of time for data collection increases
Solution Approach 1:
Sensors continuously model and track the aging process of functional blocks in advance, building up reliability data over time during normal operation. This preliminary action ensures that when reliability predictions are needed, accurate data is already available without requiring additional data collection time
Solution Approach 2:
The reliability sensors operate continuously alongside functional blocks, constantly monitoring and modeling aging processes. This continuous operation eliminates idle data collection periods and ensures uninterrupted accumulation of reliability data, improving prediction accuracy without time loss
Data Source
AI summary
The present invention provides in-situ positioning of a sensor within each functional block, as well as at critical locations, of a semiconductor system. Sensor quantity and location is optimized for maximum sensitivity to known process variations. The sensor models a behavior of the location in which it is positioned and comprises a plurality of stages connected as a network and a self-digitizer. Each sensor has a mode selection input for selecting a mode thereof and an operational trigger input for enabling the sensor to model the behavior. The model selection input and operation trigger enable the sensor to have an operational mode in which the plurality of sensors are subject to an aging process, as well as a measurement mode in which an age of the plurality of sensors is outputted. Based on the output, one or more functional blocks are modified to reduce semiconductor system gradation in real-time.