As part of a growing shift toward digital engineering, simulation and digital twins are widely used by many industries including the automotive industry. 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 automotive companies. These initiatives call for increased use of simulation including the use of simulation and other models in creating digital twins. To help address these digital engineering and transformation needs many automotive companies 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 his webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce some of SmartUQ’s tools for simulation and digital twin applications, including those for:
SmartUQ customer use cases from the automotive industry will also be presented to illustrate the real-world impact SmartUQ can have on solving simulation and digital twin related engineering problems. These successes have saved SmartUQ customers millions of dollars and thousands of hours of work.
