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Methods To Overcome Limited Labeled Data Sets In Machine Learning-Based Optical Critical Dimension Metrology


With the aggressive scaling of semiconductor devices, the increasing complexity of device structure coupled with tighter metrology error budget has driven up Optical Critical Dimension (OCD) time to solution to a critical point. Machine Learning (ML), thanks to its extremely fast turnaround, has been successfully applied in OCD metrology as an alternative solution to the conventional physical... » read more

Nanosheet FETs Drive Changes In Metrology And Inspection


In the Moore’s Law world, it has become a truism that smaller nodes lead to larger problems. As fabs turn to nanosheet transistors, it is becoming increasingly challenging to detect line-edge roughness and other defects due to the depths and opacities of these and other multi-layered structures. As a result, metrology is taking even more of a hybrid approach, with some well-known tools moving... » read more

The Human Hand: Curating Good Data And Creating An Effective Deep-Learning R2R Strategy For High-Volume Manufacturing


Currently, the semiconductor manufacturing industry uses artificial intelligence and machine learning to take data and autonomously learn from that data. With the additional data, AI and ML can be used to quickly discover patterns and determine correlations in various applications, most notably those applications involving metrology and inspection, whether in the front-end of the manufacturing ... » read more

Speeding Up The R&D Metrology Process


Several chipmakers are making some major changes in the characterization/metrology lab, adding more fab-like processes in this group to help speed up chip development times. The characterization/metrology lab, which is generally under the radar, is a group that works with the R&D organization and the fab. The characterization lab is involved in the early analytical work for next-generati... » read more

What’s Next With AI In Fabs?


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

Making Chips At 3nm And Beyond


Select foundries are beginning to ramp up their new 5nm processes with 3nm in R&D. The big question is what comes after that. Work is well underway for the 2nm node and beyond, but there are numerous challenges as well as some uncertainty on the horizon. There already are signs that the foundries have pushed out their 3nm production schedules by a few months due to various technical issu... » read more

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

3D NAND Metrology Challenges Growing


3D NAND vendors face several challenges to scale their devices to the next level, but one manufacturing technology stands out as much more difficult at each turn—metrology. Metrology, the art of measuring and characterizing structures, is used to pinpoint problems and ensure yields for all chip types. In the case of 3D NAND, the metrology tools are becoming more expensive at each iteration... » read more

Finding Defects In Chips With Machine Learning


Chipmakers are using more and different traditional tool types than ever to find killer defects in advanced chips, but they are also turning to complementary solutions like advanced forms of machine learning to help solve the problem. A subset of artificial intelligence (AI), machine learning has been used in computing and other fields for decades. In fact, early forms of machine learning ha... » read more

Inside Inspection And Metrology


Semiconductor Engineering sat down to talk about inspection, metrology and other issues with Mehdi Vaez-Iravani, vice president of advanced imaging technologies at Applied Materials. What follows are excerpts of that conversation. SE: Today, the industry is working on a new range of complex architectures, such as 3D NAND and finFETs. For these technologies, the industry is clearly struggling... » read more

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