M. Brock, K. Challa, I. Alhmoud, B. Gokaraju, S. Aravamudhan
North Carolina Agricultural and Technical State University,
United States
Keywords: digital twins, semiconductor training, human-computer interaction (HCI), iOT, CHIPS act, workforce development, multimodal feedback, AI-driven process optimization
Summary:
Digital twin technology, combined with IoT, extended reality (XR), and human-computer interaction (HCI), offers a scalable and immersive solution for semiconductor manufacturing and workforce training. Unity and Blender enable high-fidelity cleanroom simulations, while Sentaurus TCAD models semiconductor processes like diffusion and ion implantation. IoT sensors, cloud computing, and AI analytics ensure real-time data synchronization, allowing trainees to engage in hands-on, decision-driven learning. By aligning with the CHIPS Act's workforce development goals, this approach improves training effectiveness, scalability, and accessibility, bridging the gap between theoretical knowledge and real-world experience.