Characterizing Defects Inside Hexagonal Boron Nitride (KAIST, NYU, et al.)


A new technical paper titled "Characterizing Defects Inside Hexagonal Boron Nitride Using Random Telegraph Signals in van der Waals 2D Transistors" was published by researchers at KAIST, NYU, Brookhaven National Laboratory, and National Institute for Materials Science. Abstract: "Single-crystal hexagonal boron nitride (hBN) is used extensively in many two-dimensional electronic and quantu... » read more

Real-Time Safety Monitoring


Various types of semiconductor test will determine whether a chip is free of defects and meets the specification, but understanding how it's behaving in the field under real workloads and harsh ambient conditions may be very different in automotive applications, where vibration, heat, cold can disrupt the normal functioning of a chip over time and reduce its lifespan. Alex Burlak, vice presiden... » read more

Functional Compaction for Functional Test Sequences (Purdue University, I. Pomeranz)


A new technical paper titled "Functional Compaction for Functional Test Sequences" was published by IEEE Fellow Irith Pomeranz at Purdue University. Abstract: "The occurrence of silent data corruption because of hardware defects in large scale data centers points to the advantages of applying functional test sequences to detect hardware defects that escape scan-based tests. When using funct... » read more

Cost And Quality Of Chiplets


Chiplets add a whole new challenge for the semiconductor industry. How much testing is enough? How do you optimize system binning? What’s the right amount of burn-in? The answers to these questions will vary, depending upon cost and quality tradeoffs, the number and source of the chiplets, and real-world workloads and projected lifespans. Marc Jacobs, senior director of solutions architectur... » read more

AI/ML Challenges In Test and Metrology


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

Adaptive Test Ramps For Data Intelligence Era


Widely available and nearly unlimited compute resources, coupled with the availability of sophisticated algorithms, are opening the door to adaptive testing. But the speed at which this testing approach is adopted will continue to vary due to persistent concerns about data sharing and the potential for IP theft and data leakage. Adaptive testing is all about making timely changes to a test p... » read more

Unlocking Value: The Power of AI in Semiconductor Test


AI (Artificial Intelligence) and data analytics empower semiconductor manufacturers to extract valuable insights from the massive amounts of data generated throughout the silicon lifecycle. By leveraging AI algorithms, semiconductor manufacturers can optimize silicon design, assembly, and testing processes. Through the analysis of vast datasets, AI can identify patterns, predict failures, and o... » read more

Integration Challenges For ATE Data


Tighter integration of automatic test equipment (ATE) into semiconductor manufacturing, so that data from one process can be seamlessly leveraged by another, holds significant promise to boost manufacturing efficiency and yield. The challenge is selling this concept to fabs, packaging houses, and their customers. Data involving yield parameters, process variations, and intricate details abou... » read more

Challenges Of Testing Advanced Packages


The number of things that can wrong in assembly and test increases as more chips are added into a package. Testing is the usual guarantor of a reliable device, but in an advanced package there are all sorts of new issues — more contacts, different handling requirements, the necessary thermal conditions for test, and variation within the package. George Harris, vice president of global test se... » read more

Fab And Field Data Transforming Manufacturing Processes


The ability to capture, process, and analyze data in the field is transforming semiconductor metrology and testing, providing invaluable insight into a product's performance in real-time and under real-world conditions and use cases. Historically, data that encapsulates parameters such as power consumption, temperature, voltages, currents, timing, and other characteristics, was confined to d... » read more

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