Engineering Headway in Microelectronics Manufacturing at UMD

Semiconductor fabrication is a complex, cost-intensive task involving high-precision processes. Clark Distinguished Chair Jay Lee, ​director of the Center for Industrial Artificial Intelligence at the Clark School, is exploring how to make semiconductor manufacturing efficient with AI. His group is building a virtual ‘digital twin’ for semiconductor manufacturing and packaging that has knowledge about the physics of the materials used, the manufacturing processes, and ways to test the reliability and performance of semiconductors—all by using real-time data from a fab.

“Data can show things that are usually invisible in the manufacturing process,” Lee explains. He adds that the digital twin, which can analyze data to improve the manufacturing process in real-time, can help companies improve performance with speed, and; industrial AI can boost the scale of semiconductor manufacturing. “The U.S. needs to reinvent what we have,” Lee says, commenting that Southeast Asian fabs already use such data-centric systems to operate.     

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