NIST Roadmap for U.S Semiconductor manufacturing

U.S. semiconductor manufacturing is increasingly adopting AI and machine learning to meet growing demands for customization. However, the industry still faces significant challenges—including data sharing, workforce development, defect classification, and predictive maintenance.

This report, co-authored by Dr. Xiaodong Jia alongside researchers and industry professionals from the University of Cincinnati, University of Michigan, and Predictronics Corporation, identifies 12 critical areas for innovation and investment. These range from digital twins to intelligent metrology, offering pathways to improve quality, throughput, and cost-efficiency.

The report also incorporates insights from leading industry players such as Applied Materials, Intel, and SAMSUNG, providing a comprehensive view of current opportunities and obstacles in semiconductor manufacturing.

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