tag: defectivity

AI/ML Challenges In Test and Metrology
By Gregory Haley - 12 Mar, 2024 - Comments: 0

The integration of artificial intelligence and machine learning (AI/ML) into semiconductor test and metrology is redefining the landscape for chip fabrication, which will be essential at advanced nodes and in increasingly dense advanced packages. Fabs today are inundated by vast amounts of data collected across multiple manufacturing processes, and AI/ML solutions are viewed as essential for... » read more

Yield Tracking In RDL
By Ed Sperling - 07 Feb, 2024 - Comments: 0

Yield is a much bigger issue when it comes to panel-level packages, which may contain up to 24 RDL layers. Just finding the defects is a massive challenge, let alone understanding how they will impact the entire device. Many of these advanced packages are being used in data centers for generative AI, and killer defects caused by bridges and opens can cause serious problems. What happens, for in... » read more

Metrology Strategies For 2nm Processes
By Laura Peters - 07 Mar, 2023 - Comments: 3

Metrology and wafer inspection processes are changing to keep up with evolving and new device applications. While fab floors still have plenty of OCD tools, ellipsometers, and CD-SEMs, new systems are taking on the increasingly 3D nature of structures and the new materials they incorporate. For instance, processes like hybrid bonding, 3D NAND flash devices, and nanosheet FETs are pushing the bo... » read more

IC Stresses Affect Reliability At Advanced Nodes
By Ann Mutschler - 08 Dec, 2022 - Comments: 1

Thermal-induced stress is now one of the leading causes of transistor failures, and it is becoming a top focus for chipmakers as more and different kinds of chips and materials are packaged together for safety- and mission-critical applications. The causes of stress are numerous. In heterogeneous packages, it can stem from multiple components composed of different materials. “These materia... » read more

Systematic Yield Issues Now Top Priority At Advanced Nodes
By Laura Peters - 06 Dec, 2022 - Comments: 0

Systematic yield issues are supplanting random defects as the dominant concern in semiconductor manufacturing at the most advanced process nodes, requiring more time, effort, and cost to achieve sufficient yield. Yield is the ultimate hush hush topic in semiconductor manufacturing, but it's also the most critical because it determines how many chips can be profitably sold. "At older nodes, b... » read more

Deep Learning In Industrial Inspection
By Ed Sperling - 24 May, 2022 - Comments: 0

Deep learning is at the upper end of AI complexity, sifting through more data to achieve more accurate results. Charlie Zhu, vice president of R&D at CyberOptics, talks about how DL can be utilized with inspection to identify defects in chips that are not discernible by traditional computer vision algorithms, classifying multiple objects simultaneously from multiple angles and taking into accou... » read more

Using Manufacturing Data To Boost Reliability
By Ed Sperling and Ann Mutschler - 07 Dec, 2021 - Comments: 0

As chipmakers turn to increasingly customized and complex heterogeneous designs to boost performance per watt, they also are demanding lower defectivity and higher yields to help offset the rising design and manufacturing costs. Solving those issues is a mammoth multi-vendor effort. There can be hundreds of process steps in fabs and packaging houses. And as feature sizes continue to shrink, ... » read more

Speeding Up Scan-Based Volume Diagnosis
By Bryon Moyer - 07 Dec, 2021 - Comments: 0

In the critical process known as new-product bring-up, it’s a race to get new products to yield as quickly as possible. But the interplay between increasingly complex aspects of designs and process makes it difficult to find root causes of yield issues so they can be fixed quickly. Advanced processes have very high defectivity, and learning must be fast and effective. While progress has be... » read more

Geo-Spatial Outlier Detection
By Anne Meixner - 19 Jul, 2021 - Comments: 0

Comparing die test results with other die on a wafer helps identify outliers, but combining that data with the exact location of an outlier offers a much deeper understanding of what can go wrong and why. The main idea in outlier detection is to find something in or on a die that is different from all the other dies on a wafer. Doing this in the context of a die’s neighbor has become easie... » read more

Automotive Innovations In Semiconductors
By Jeff Barnum - 15 Jul, 2021 - Comments: 0

By Jeff Barnum, Janay Camp, and Cathy Perry Sullivan The semiconductor industry performed better than expected in 2020 despite the impact of COVID-19 on the global economy and is preparing for accelerated growth in 2021 and beyond. The global coronavirus pandemic significantly increased demand for communications electronics and fueled the growth in cloud computing to support remote work and ... » read more

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