Pressure Builds On Failure Analysis Labs


Failure analysis labs are becoming more fab-like, offering higher accuracy in locating failures and accelerating time-to-market of new devices. These labs historically have been used for deconstructing devices that failed during field use, known as return material authorizations (RMAs), but their role is expanding. They now are becoming instrumental in achieving first silicon and ramping yie... » read more

Plugging Gaps In The IC Supply Chain


Multiple touch points in manufacturing and packaging are exposing gaps in the data used to track different components, making it difficult to identify the source of issues that can affect yield and reliability, and opening the door to counterfeit or sub-standard parts. This involves more than just assigning a simple identifying code to a chip. At different points in a device's lifecycle, new... » read more

Application-Oriented Testing Of SiC Power Semiconductors


SiC (silicon carbide) has established itself as an important material in the semiconductor market because it has many outstanding properties. In comparison with silicon, SiC offers a higher electrical breakdown voltage, resulting in improved component performance and efficiency. It also allows for operation at higher temperatures, which makes heat dissipation easier and enables improved perform... » read more

Using FTIR To Improve SiC Power Device Performance


The figures alone are impressive: SiC power devices are experiencing an annual average growth rate approaching 34% through 2027, according to the Yole Group. However, the potential for this amongst other compound semiconductor-based power devices such as gallium nitride (GaN) to change the world around us is even more impressive. Thanks to the role that SiC-based devices play in the increase... » read more

SLM Analytics Of In-Chip Monitor Data Unlock Greater Productivity And Cost Savings


When it comes to measuring key operational metrics such as power and performance of your silicon, in-chip monitors have been the longstanding cornerstone for providing such valuable measurements and insights. Data captured from these monitors – process monitors configured in the form of ring oscillator chains being the most common – can tell you if your chip is meeting the requisite power o... » read more

Wireless Trend Predictions For 2024 And Their Impact On The Test And Measurement Industry


The ever-evolving landscape of wireless technology continues to shape how we connect, communicate, and innovate. Connected systems continue to grow in complexity and reliance on one another which will impact the test & measurement industry significantly.  As we step into the year 2024, several key wireless trends are set to dominate the industry, ushering in a new era of connectivity and r... » read more

Meeting The Test Challenges Of Ultra-Wideband Chipsets


By Kevin Yan and Daniel Sun This article is adapted from a paper and presentation at SEMICON China, March 2023. Ultra-wideband (UWB) technology, as defined by IEEE 802.15.4 and 802.15.4z standards, enables short-range, low-power RF location-based services and wireless communication. A variety of devices have reached the market to help implement UWB capability, but these devices present si... » read more

In-Product BTI Aging Sensor For Reliability Screening And Early Detection Of Material At Risk


We have developed a new reliability monitoring suite, within a proprietary IP block that we call a CV Core, with aging sensors embedded in the product layout and testable through the product I / O interface. We illustrate the application of the sensor suite with an example of the PMOS NBTI monitor, testable at the wafer level during product electrical wafer sort (EWS), as well after packaging a... » 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

Empowering Universities By Retaining Raman Knowledge


A big chunk of precious research funds spent on an expensive piece of equipment, for example a Raman microscope. Now, such a magnificent piece of hardware can seem quite intimidating. After all, it could be capable of building a spaceship! Now a poor graduate student must face copious amounts of training, becoming a real expert over the span of 3 to 4 years. Mostly because the professor ... » read more

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