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Webinars

Fast, Accurate, and Comprehensive Machine Learning Software for Aerospace and Defense Simulations and Digital Twins

On Demand

As part of a growing shift toward digital engineering, simulation and digital twins are widely used by many industries including aerospace and defense. As the Department of Defense’s Digital Engineering Strategy guide states, the benefits of digital engineering include addressing the challenges of complexity and uncertainty, which leads to benefits such as better-informed decision making, more confidence in designs, and more efficient engineering processes. This has led to digital transformation initiatives at many aerospace and defense companies calling for increased use of simulations and digital twins. To help address these digital engineering and transformation needs many aerospace and defense companies and organizations are currently using SmartUQ.

SmartUQ is a fast, accurate, and comprehensive Machine Learning (ML) and Uncertainty Quantification (UQ) software tool optimally designed for simulation, digital twin, and other engineering applications. SmartUQ includes best in class ML models, which significantly outperform the competition in terms of training speed and predictive accuracy. SmartUQ also features statistical calibration tools for achieving better agreement between simulation and physical data.

Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce the following SmartUQ’s tools for simulation and digital twin applications:

  • Space filling Design of Experiments (DOEs)
  • Training machine learning models
  • Sensitivity Analysis
  • Uncertainty Propagation
  • Statistical Calibration (Frequentist and Bayesian)
  • Optimization Under Uncertainty

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.