Machine Learning for Accelerating Semiconductor Manufacturing Simulation and Digital Twins

Webinars

Machine Learning for Accelerating Semiconductor Manufacturing Simulation and Digital Twins

Thu, Jun 4, 2026 12:00 PM - 1:00 PM CDT

SmartUQ is a powerful AI, Machine Learning (ML) and Uncertainty Quantification (UQ) software tool used by many of the world’s largest semiconductor manufacturing companies. SmartUQ’s development for semiconductor manufacturing applications is driven to meet the needs and challenges facing practicing engineers at these companies. In general, SmartUQ can be used to harness advanced ML and statistical tools to accelerate workflows and maximize the knowledge gained from simulation, test, and digital twins. SmartUQ can help you gain deeper insights, make more reliable, data-driven design decisions, and optimize designs, processes, and equipment performance under real-world variability. Through software demonstration examples and customer use cases this webinar will discuss how SmartUQ’s modern design of Experiments (DOEs), predictive ML models (aka surrogate models), and statistical calibration enables faster trade studies, improved understanding of sensitivity and variability, and practical UQ in areas such as TCAD and packaging simulation, where extensive high-fidelity simulation can be computationally prohibitive. The presentation will conclude with a Q&A session.

Presented by Gavin Jones, Principal Application Engineer
Gavin Jones serves as a Principal Application Engineer at SmartUQ, where he is responsible for performing simulation and AI work for clients in the automotive, aerospace, defense, semiconductor, and other industries. He is a member of the SAE Chassis Committee as well as the AIAA Digital Engineering Integration Committee. Gavin is also a key contributor in SmartUQ’s Digital Twin/Digital Thread initiative.