How And Where ML Is Being Used In IC Manufacturing


Semiconductor Engineering sat down to discuss the issues and challenges with machine learning in semiconductor manufacturing with Kurt Ronse, director of the advanced lithography program at Imec; Yudong Hao, senior director of marketing at Onto Innovation; Romain Roux, data scientist at Mycronic; and Aki Fujimura, chief executive of D2S. What follows are excerpts of that conversation. Part one ... » read more

Inspection And Metrology Of Micro LED Technology


Micro LEDs developed using Rohinni’s technology can be deployed in consumer electronics devices, automotive applications and outdoor signage, among other applications. The disruptive technology enables products that are brighter, thinner, lighter and more dynamic that those currently on the market, with lower power consumption than LCD or OLED. Rohinni needed an inspection and metrology so... » read more

Weighing Wafers Simplifies Metrology


Building semiconductors is an incredibly exacting process, with critical dimensions posing significant equipment challenges – and with the possibility that small process excursions can cause the yield to decrease. For this reason, it has always been important to measure and monitor the most critical process steps to ensure that no further processing is done on a faulty lot and so that equipme... » read more

Process Control For Next-Generation Memories


The Internet of Things (IoT), Big Data and Artificial Intelligence (AI) are driving the need for higher speeds and more power-efficient computing. The industry is responding by bringing new memory technologies to the marketplace. Three new types of memory in particular—MRAM (magnetic random access memory), PCRAM (phase change RAM) and ReRAM (resistive RAM)—are emerging as leading candidat... » read more

Smart Manufacturing Solutions: Build or Buy?


Enterprise smart manufacturing platforms have become an important part of the manufacturing ecosystem, especially in domains such as semiconductors and electronics. McKinsey & Company estimates, for example, that the quantity of process, product, and machine data collected on a daily basis in a typical fab quickly exceeds terabytes. If you add to this in-line and end-of-line inspection as w... » read more

Advanced Process Control


David Fried, vice president of computational products at Lam Research, looks at shrinking tolerances at advanced processes, how that affects variation in semiconductor manufacturing, and what can be done to achieve the benefits of scaling without moving to new transistor architectures. » read more

Weighing Wafers Simplifies Metrology


Building semiconductors is an incredibly exacting process, with critical dimensions posing significant equipment challenges—and with the possibility that small process excursions can cause the yield to decrease. For this reason, it has always been important to measure and monitor the most critical process steps to ensure that no further processing is done on a faulty lot and so that equipment... » read more

Inspection, Metrology Challenges Grow For SiC


Inspection and metrology are becoming more critical in the silicon carbide (SiC) industry amid a pressing need to find problematic defects in current and future SiC devices. Finding defects always has been a challenging task for SiC devices. But it’s becoming more imperative to find killer defects and reduce them as SiC device vendors begin to expand their production for the next wave of a... » read more

Controlling Variability And Cost At 3nm And Beyond


Richard Gottscho, executive vice president and CTO of Lam Research, sat down with Semiconductor Engineering to talk about how to utilize more data from sensors in manufacturing equipment, the migration to new process nodes, and advancements in ALE and materials that could have a big impact on controlling costs. What follows are excerpts of that conversation. SE: As more sensors are added int... » read more

The Precision Knob


Precision used to be a goal, but increasingly it is being used as a tool. This is true for processing and algorithms, where less precision can greatly improve both performance and battery life. And it is true in manufacturing, where more precision can help minimize the growing impact of variation. Moreover, being able to dial precision up or down can help engineers see the impact on a system... » read more

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