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Advancing Semiconductor Reliability with Device Aware Testing for Next-Generation Non-Volatile Memory Technologies

Objective

Non-volatile memory (NVM) technologies are essential to modern society, supporting key functions in healthcare, automotive safety, and communication infrastructure. These cases highlight the importance of NVM reliability and the need for rigorous testing of memory semiconductors to protect technologies that impact millions of lives.

Advanced memory technologies come with unique physical properties and new failure modes, making traditional testing methods less effective. This can lead to test escapesdefective chips passing undetectedposing risks to critical applications. It also lowers yields (the percentage of defect-free chips) and raises operational costs.

Our solution, the Device Aware Testing (DAT) platform, integrates precise physical defect modeling into the testing process. This improves fault detection accuracy by two orders of magnitude, reducing the likelihood of defective chips reaching the market and improving product reliability.

The POPCORN project will develop and demonstrate a prototype of the DAT platform in real-world settings, advancing it to Technology Readiness Level (TRL) 6. Key activities include building a scalable defect and model library, automating fault modeling, and test generation, and demonstrating the platform in an industrial setting.

By the projects end, we expect societal and economic benefits, including improved semiconductor quality, increased reliability of critical technologies, and a boost in Europes semiconductor industry. With interest from major players in the industry, the project is on track to launch its market-ready product by 2031, offered via a Software as a Service (SaaS) model for sustainable profitability.

Fields of science (EuroSciVoc)

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Coordinator

TECHNISCHE UNIVERSITEIT DELFT
Net EU contribution
€ 2 499 375,00
Address
STEVINWEG 1
2628 CN Delft
Netherlands

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Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data