SmartUQ

🚀 Webinar: Comprehensive Machine Learning Framework for Digital Twins

How do you build digital twins that are fast, accurate, and data-driven?
Join us to explore a comprehensive machine learning framework covering:
✔️ Smart data collection (modern design of experiments & sampling)
✔️ Fast and accurate surrogate modeling for rapid predictions
✔️ Statistical calibration to align with real-world data
Learn how SmartUQ enables high-performance digital twins across design, manufacturing, and operations.

🎤 Presented by Gavin Jones, Principal Application Engineer at SmartUQ
📊 Includes real-world use cases + live demo
📅 April 29 and 30, 2026 — Multiple global sessions available
👉 Register here:
Japan/Korea: https://smartuq.com/resources/webinars/webinar/?id=218034709057331548

Europe/India: https://smartuq.com/resources/webinars/webinar/?id=1345082506039375453

North America: https://smartuq.com/resources/webinars/webinar/?id=6989367173111140950

Webinar: From Expensive CFD to Real-Time Prediction: Data-Driven CFD Acceleration with Machine Learning

How can you turn computationally expensive CFD into fast, data-driven predictions?

Join us to learn how modern design of experiments, surrogate modeling, and statistical calibration accelerate CFD and unlock more value from your simulations. We’ll highlight SmartUQ’s non-parametric, mesh-independent surrogate models that rapidly predict temperature, pressure, and velocity fields—enabling early-stage optimization and broad design exploration.

SmartUQ runs locally on standard desktop hardware, requires fewer CFD runs, and keeps your data secure—no HPC or cloud transfer needed.

SmartUQ Principal Application Engineer Gavin Jones will share real-world examples from aerospace, automotive, and semiconductor applications, and discuss integration with all major CFD solutions.

🗓 Choose the session that fits your time zone:

North America (CST)
March 26 | 1:00–2:00 PM
Register: https://smartuq.com/resources/webinars/webinar/?id=3480726612406092638

Japan / South Korea (JST / KST)
March 26 | 10:00–11:00 AM
Register: https://smartuq.com/resources/webinars/webinar/?id=6574724845337396827

Europe / India (GMT / IST)
London: 2:00–3:00 PM GMT
India: 7:30–8:30 PM IST
Register: https://smartuq.com/resources/webinars/webinar/?id=8937055264445050459

Want to experience best-in-class machine learning software for CFD? Download a free SmartUQ trial here: https://smartuq.com/forms/trial/.

Webinar Announcement: Accelerating ANSYS Simulation & Digital Twins with Machine Learning

Learn how modern design of experiments, surrogate models and model calibration can improve ANSYS simulation accuracy and enable fast, real-time digital twins.

Join SmartUQ Principal Application Engineer Gavin Jones for live demos, customer use cases, and insights into SmartUQ’s seamless ANSYS integration.

🗓 Thursday, Feb 26 (3 sessions available):
US (CST) – 1:00–2:00 PM
👉 https://smartuq.com/resources/webinars/webinar/?id=7763494826166907991
Asia (JST/KST) – 10:00–11:00 AM
👉 https://smartuq.com/resources/webinars/webinar/?id=1820749926760645211
Europe & India – 2:00–3:00 PM GMT | 7:30–8:30 PM IST
👉 https://smartuq.com/resources/webinars/webinar/?id=6683048730018689110

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

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: Modern Design of Experiments, Calibration, and Machine Learning for Electronics Simulations

📅 Thursday, September 4, 2025
🕐 1:00 – 2:00 PM CDT

Getting the most out of electronics simulations requires two things:
1️⃣ Using the simulation budget efficiently
2️⃣ Ensuring the results align with reality

In this webinar, we’ll explore how modern design of experiments, predictive machine learning models, and model calibration can:
✅ Calibrate electronics simulations to physical data
✅ Validate simulation accuracy
✅ Maximize the insights gained from simulation runs

SmartUQ Principal Application Engineer Gavin Jones will demonstrate how SmartUQ enables modern approaches to electronics simulations, including integration with leading tools such as ANSYS and COMSOL.

👉 Register for free: https://smartuq.com/resources/webinars/webinar/?id=9210828157584234327

🎯 Webinar: Design of Experiments, Calibration & Machine Learning for Multi-Fidelity Simulation & Data Fusion

📅 Thu, Aug 21, 2025 | 🕐 1:00 – 2:00 PM CDT

High-fidelity simulations are accurate—but slow. SmartUQ’s machine learning, design of experiments, and statistical calibration tools can speed things up using:
Multi-fidelity modeling – Combine high- and low-fidelity simulation data
Data fusion – Integrate simulation, test, and sensor data into a single, more accurate model

Join Gavin Jones, Principal Application Engineer at SmartUQ, to learn how these methods deliver faster, more reliable predictions.
🎟 Free Registration: https://register.gotowebinar.com/register/311962683440993374

🚀 Webinar: Modern Machine Learning for Jet Engine & Gas Turbine Applications

📅 Thursday, Aug 14, 2025 | 🕐 1:00 – 2:00 PM CDT
SmartUQ is an advanced AI, machine learning, and Uncertainty Quantification platform originally developed for a Fortune 100 jet engine manufacturer—where it has delivered remarkable engineering value.

With capabilities including:
Industry-leading Design of Experiments
Predictive machine learning models (emulators/surrogate models)
Model calibration & sensitivity analysis
Uncertainty propagation
Stochastic & reliability-based optimization

SmartUQ is trusted by engineers at numerous Fortune 500 manufacturers for its unmatched accuracy, speed, and flexibility—helping achieve drastic savings in engineering time and cost.

What you’ll learn:
1️⃣ Overview of SmartUQ + live software demo
2️⃣ Applications for jet engines & gas turbines, including high/low pressure compressors, combustors, and fan modules
3️⃣ Q&A with our expert
🎯 Free Registration: https://smartuq.com/resources/webinars/webinar/?id=661015844131869534

🎯 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