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            Previous Issues

            Developing security standards so that data analysis experts can work together to solve thorny process control challenges remains a top priority as semiconductor manufacturing moves to a smart manufacturing model.

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            Leading conference on process control solutions for semiconductor and related high precision industries slated for San Antonio, Texas on October 28-31, 2019.

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            Manufacturers can turn periods of lower utilization to their benefit by using the available time to take proactive steps to increase the performance and productivity of their equipment and fab operations.

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            Compared with CMP for 300mm wafers, planarizing 200mm wafers with thick copper layers presented new challenges. Smaller polishing head zone sizes, much thicker bulk copper processes, and wafer edge issues added up to a demanding development process.

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            Factory automation increasingly depends on our ability to make complex decisions rapidly, but many semiconductor fabrication processes have exceeded the cognitive capabilities of humans to troubleshoot anomalies and assess all relevant variables. Thus, automation has become a key strategy used to address these challenges.

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            After years of discussion about flexible, bendable displays for mobile electronic devices, the first and most logical of these devices, foldable phones, will hit the market this year—along with some as yet unresolved issues and challenges.
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            Subject matter expertise (SME) will continue to be a critical component of microelectronics manufacturing analytics, especially as we move to smart manufacturing and big data solutions.
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            Moore’s Law follows the continual advancement of smaller silicon transistors, which is ideal for faster operating speeds in processors and increasing memory size density.

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            Managing chamber effluent has never been more important, given the need to maintain high tool productivity while meeting cost, environmental and safety requirements.
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            Applied Materials has led the way over the past few years in determining a big data analytics path for the semiconductor manufacturing industry. 

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            Nanochip Express Spring 2018
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