Modern Artificial Intelligence and Machine Learning to Accelerate Simulation for Aerospace Startups

Webinars

Modern Artificial Intelligence and Machine Learning to Accelerate Simulation for Aerospace Startups

On Demand

Aerospace startups work in a wide range of application areas including satellite technology, eVTOL, hypersonics, autonomous flight, and propulsion technologies. There is tremendous competition for such startups and failing to meet tight development timelines can be the difference between surviving to additional funding rounds or an IPO. It is therefore crucial to reduce design cycles and maximize the information gained from simulation as quickly as possible. A powerful solution is to take a surrogate modeling approach where first a machine learning (ML) model is trained to predict the simulation’s results. The ML model’s rapid prediction of simulation results allows more analyses to be performed and in less time. SmartUQ is a fast, accurate, and comprehensive software tool originally invented to solve the most difficult problems in aerospace, whether related to CFD, FEA, materials, or other. SmartUQ is currently used by both large and small aerospace companies. Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will discuss SmartUQ’s tools for accelerating simulations including design of experiments (DOE), ML models, statistical calibration, and 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.