SmartUQ

Webinar: Modern Design of Experiments, Machine Learning & Calibration for COMSOL Simulation and Digital Twins

Learn how to maximize COMSOL simulations using modern design of experiments, surrogate modeling, and statistical calibration to create fast, accurate digital twins.

SmartUQ enables real-time digital twins by training high-fidelity surrogate models from COMSOL simulations and physical data.

Join Gavin Jones, Principal Application Engineer at SmartUQ, for customer use cases and integration demos.

🗓 Thursday, Jan 29 (3 sessions available):
US (CST) – 1:00–2:00 PM
👉 https://register.gotowebinar.com/ /7742739345169257305
Asia (JST/KST) – 10:00–11:00 AM
👉 https://register.gotowebinar.com/register/7394103999210870361
Europe & India – 2:00–3:00 PM GMT | 7:30–8:30 PM IST
👉 https://register.gotowebinar.com/register/3341604305902889312

Explore additional webinars, access our whitepapers, and download free trials directly from our website:
👉 https://smartuq.com/

Webinar: Modern Machine Learning for Engineering Applications

Thursday, November 13, 2025 | 1:00 PM – 2:00 PM CST

Join us for a live webinar showcasing the latest advancements in SmartUQ 11.0, our AI, Machine Learning (ML), and Uncertainty Quantification (UQ) software designed for science and engineering applications.

With new tools and enhancements, SmartUQ 11.0 continues to deliver powerful sampling methods, advanced ML capabilities, and intuitive analytics—helping users tackle problems once considered unsolvable.

Presenter:
Gavin Jones, Principal Application Engineer at SmartUQ

Highlights include:
• Seven new model types, including data fusion and multifidelity modeling
• Introduction of fast and accurate Bayesian Optimization tools
• Enhanced GUI with multi-workspace support
• Taguchi Design and Taguchi Modeling tools
• Expanded visualization and plotting options
• Additional optimization features, including Robust and Field Optimization

The webinar will conclude with a live Q&A session.

👉 Register for free: https://smartuq.com/resources/webinars/webinar/?id=8075485646739900765

🚀 Webinar: Transforming Tire Simulation with Modern Machine Learning

📅 Thursday, October 23, 2025 | 1:00–2:00 PM CDT

Efficient tire simulation means making the most of your simulation budget and ensuring results match real-world performance.

Join us for a webinar exploring how modern design of experiments, machine learning models, and model calibration can improve tire simulation accuracy and validation.

👨‍🔬 Speaker: Gavin Jones, Principal Application Engineer at SmartUQ, will show how SmartUQ integrates with ANSYS, COMSOL, and other tools to enhance simulation workflows.

🎯 You’ll learn how to:
Optimize simulations through design of experiments
Calibrate models to physical data
Validate accuracy using machine learning techniques

🔗 Register free: https://smartuq.com/resources/webinars/webinar/?id=5268467644824838492

🚀 Webinar: Modern AI & Machine Learning to Accelerate Simulation for Aerospace Startups

📅 Thursday, Sep 18, 2025 | 🕐 1:00 – 2:00 PM CDT

Aerospace startups in 🛰️ satellites, 🚁 eVTOL, ⚡ hypersonic, 🤖 autonomy, and 🔥 propulsion face intense competition where missing tight timelines can mean lost funding. One powerful solution is modern AI and machine learning–based surrogate modeling, which accelerates design cycles by predicting simulation results quickly and enabling more analyses in less time.

🎙️ Join Gavin Jones, Principal Application Engineer at SmartUQ, to learn how SmartUQ helps aerospace companies tackle their toughest challenges— spanning CFD, FEA, structural simulation, materials, and many other simulations.

Key topics include:
Design of Experiments
Machine learning models for simulation
Model calibration
Optimization under uncertainty

👉 Register free: https://smartuq.com/resources/webinars/webinar/?id=2930192338255367767

🎯 Webinar: Machine Learning for Closing the Virtual-Physical Gap in Digital Twins

📅 Thursday, August 7, 2025 | 1:00 PM – 2:00 PM CDT
Digital twins are transforming industries like aerospace, automotive and semiconductor — but their success hinges on accurately reflecting physical systems.

Join Gavin Jones, Principal Application Engineer at SmartUQ, to explore how machine learning and model calibration (frequentist & Bayesian) can bridge the gap between simulation and real-world data.

🔗 Free registration: https://smartuq.com/resources/webinars/webinar/?id=9184952250360729941