K. Hong, I. Jha, N. Vatanshenas, C. Lee, A. Sunkad, A. Ashcroft, A. Ahmadi, R. Dhar, H. Mandadi, R.D. Melara, J.J. Mosquera, P.K. Stout
UC Irvine,
United States
Keywords: AR/VR, semiconductor fabrication, simulations
Summary:
The semiconductor industry is facing a significant workforce shortage, with over 100,000 technician jobs projected to remain unfilled by 2030. Traditional training methods are insufficient to meet this demand, highlighting the need for innovative, scalable solutions. This study proposes a novel approach: empowering community college and K-12 students to create AI-powered digital twins for semiconductor manufacturing using accessible tools and expert guidance. By combining technologies like AR/VR, no-code platforms, and generative AI, a team of student interns successfully developed a digital twin for photolithography and packaging processes. Their work demonstrates that even less experienced users, with the right support, can produce effective training tools. The digital twin was pilot-tested with 29 participants, yielding positive results, including increased engagement, ease of use, and a measurable boost in interest and knowledge about semiconductor careers. This research showcases the dual benefit of addressing the workforce gap while training a new generation in cutting-edge digital twin technology. The approach is scalable nationwide, offering a practical pathway to equip students with critical skills while helping the semiconductor industry overcome its workforce challenges.