Accelerating Semiconductor Testing with Modern Design of Experiments, Sampling, and Machine Learning

Webinars

Accelerating Semiconductor Testing with Modern Design of Experiments, Sampling, and Machine Learning

Thu, Nov 12, 2026 1:00 PM - 2:00 PM CST

Semiconductor testing involves numerous parameters, complex interactions, and constraints, making comprehensive testing costly and time-consuming. Across device characterization, process development, reliability testing, and wafer-level validation, engineers need efficient ways to explore large test spaces. SmartUQ offers advanced Design of Experiments (DOE) and subsampling tools to address these challenges. For device characterization, process development, and reliability testing, SmartUQ's modern DOEs efficiently explore parameters such as voltage, temperature, frequency, and process settings while respecting test constraints. For wafer-level testing and device qualification, SmartUQ's subsampling methods identify the most informative subset from thousands of potential test conditions. SmartUQ also builds accurate machine learning (ML) models from test data to predict outcomes at untested conditions, identify key performance drivers, and reveal complex parameter relationships. Join this webinar to discover how SmartUQ's DOE, subsampling, and ML capabilities reduce testing time and cost, accelerate semiconductor development, and maximize the value of test data.

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.