Single Vs. Multi-Patterning EUV


Extreme ultraviolet (EUV) lithography finally is moving into production, but foundry customers now must decide whether to implement their designs using EUV-based single patterning at 7nm, or whether to wait and instead deploy EUV multiple patterning at 5nm. Each patterning scheme has unique challenges, making that decision more difficult than it might appear. Targeted for 7nm, single pattern... » read more

EUV Mask Readiness Challenges


Semiconductor Engineering sat down to discuss extreme ultraviolet (EUV) lithography and photomask technologies with Emily Gallagher, principal member of the technical staff at Imec; Harry Levinson, principal at HJL Lithography; Chris Spence, vice president of advanced technology development at ASML; Banqiu Wu, senior director of process development at Applied Materials; and Aki Fujimura, chief ... » 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

Engineering Talent Shortage Now Top Risk Factor


Demand is increasing for engineers and related technical fields in the IC industry, but companies are struggling to find enough talent. The problem is even worse in hot new markets such as AI and 5G, where competition is fierce for experienced workers. The talent shortfall starts with college graduates and professionals in the fields of science, technology, engineering and mathematics (STEM)... » read more

Variation Issues Grow Wider And Deeper


Variation is becoming more problematic as chips become increasingly heterogeneous and as they are used in new applications and different locations, sparking concerns about how to solve these issues and what the full impact will be. In the past, variation in semiconductors was considered a foundry issue, typically at the most advanced process node, and largely ignored by most companies. New p... » read more

Machine Learning For IC Production


Semiconductor Engineering sat down to discuss artificial intelligence (AI), machine learning, and chip and photomask manufacturing technologies with Aki Fujimura, chief executive of D2S; Jerry Chen, business and ecosystem development manager at Nvidia; Noriaki Nakayamada, senior technologist at NuFlare; and Mikael Wahlsten, director and product area manager at Mycronic. What follows are excerpt... » read more

What’s the Right Path For Scaling?


The growing challenges of traditional chip scaling at advanced nodes are prompting the industry to take a harder look at different options for future devices. Scaling is still on the list, with the industry laying plans for 5nm and beyond. But less conventional approaches are becoming more viable and gaining traction, as well, including advanced packaging and in-memory computing. Some option... » read more

Fab Equipment Challenges For 2019


After a period of record growth, the semiconductor equipment industry is facing a slowdown in 2019, in addition to several technical challenges that still need to be resolved. Generally, the equipment industry saw enormous demand in 2017, and the momentum extended into the first part of 2018. But then the memory market began deteriorating in the middle of this year, causing both DRAM and NAND ... » read more

EUV Mask Blank Battle Brewing


Amid the ramp of extreme ultraviolet (EUV) lithography in the market, suppliers of EUV mask blanks are expanding their production. And a new player—Applied Materials—is looking to enter the market. AGC and Hoya, the two main suppliers of EUV mask blanks, are adding capacity for these critical components that are used for EUV photomasks. A mask blank serves as the substrate for a photomas... » read more

Machine Learning Moves Into Fab And Mask Shop


Semiconductor Engineering sat down to discuss artificial intelligence (AI), machine learning, and chip and photomask manufacturing technologies with Aki Fujimura, chief executive of D2S; Jerry Chen, business and ecosystem development manager at Nvidia; Noriaki Nakayamada, senior technologist at NuFlare; and Mikael Wahlsten, director and product area manager at Mycronic. What follows are excerpt... » read more

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