Discover how AppliedTwin uses process, product, and equipment digital twins to deliver real-time insights that help semiconductor manufacturers detect issues early and respond faster. By combining historical and runtime data, this integrated approach supports smarter decisions that improve ramp, yield, and overall fab performance.
Project Planning Workshop Highlights
"Equipment Health Monitoring and Product Health Monitoring Using Semiconductor Manufacturing Digital Twins"
Process Quality Global Product Manager
Applied Materials | Automation Products Group
Thursday, October 9, 2025
9:45 am – 12:15 pm MT
NSF Center for Digital Twins in Manufacturing
Polytechnic Campus of Arizona State University
Interdisciplinary Science and Technology 12 (ISTB-12) 6155 S. Innovation Way West
Mesa, AZ 85212
Contact: [email protected]
