Design of Experiments, Calibration, and Machine Learning for CFD Simulations
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce the use of SmartUQ for CFD applications.
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Modern AI and Machine Learning to Accelerate Semiconductor Equipment Simulations
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will discuss SmartUQ’s tools for accelerating semiconductor simulations including design of experiments (DOEs), ML models, statistical calibration, and optimization under uncertainty.
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Design of Experiments, Calibration, and Machine Learning for COMSOL Simulations
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce the use of SmartUQ for COMSOL simulation applications. SmartUQ’s ability to integrate with COMSOL will also be demonstrated and discussed.
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Modern AI and Machine Learning for Accelerating Aerospace Simulation
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will discuss SmartUQ’s tools for accelerating aerospace simulation including design of experiments (DOE), ML models, statistical calibration, and optimization under uncertainty.
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Modern AI and Machine Learning to Accelerate Automotive Simulations
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will discuss SmartUQ’s tools for accelerating automotive simulations including design of experiments (DOEs), ML models, statistical calibration, and optimization under uncertainty.
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SmartUQ Machine Learning Software Complements Optimizations Tools: A Comparison of SmartUQ to OptiSLang, ModeFRONTIER, and Heeds
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will highlight the unique strengths and capabilities of SmartUQ that complement optiSLang, ModeFRONTIER, and Heeds. The significant speed, accuracy, and variety advantages of SmartUQ’s ML models as compared to those offered in optiSLang, ModeFRONTIER, and Heeds will also be covered.
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SmartUQ Machine Learning Software Complements Dassault Isight
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will highlight the unique strengths and capabilities of SmartUQ that complement Isight.
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SmartUQ Free Training – Fast & Accurate Machine Learning Software Introduction for Engineering Applications
Join us for this SmartUQ introductory training to learn through the use of example problems how to use SmartUQ’s most popular ML tools for solving engineering problems.
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SmartUQ Machine Learning Software Complements Altair RAMDO
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will highlight the unique strengths and capabilities of SmartUQ that complement RAMDO. The significant speed, accuracy, and variety advantages of SmartUQ’s ML models as compared to those offered in RAMDO will also be covered.
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SmartUQ Machine Learning Software Complements Hexagon ODYSSEE
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will highlight the unique strengths and capabilities of SmartUQ that complement ODYSSEE. The significant speed, accuracy, and variety advantages of SmartUQ’s ML models as compared to those offered in ODYSSEE will also be covered.
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SmartUQ Machine Learning Software Complements Siemens Heeds
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will highlight the unique strengths and capabilities of SmartUQ that complement Siemens Heeds.
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Design of Experiments, Calibration, and Machine Learning for Materials Simulation
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce the use of SmartUQ AI and Machine Learning software for materials simulation applications.
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SmartUQ Machine Learning Software Complements ANSYS OptiSLang
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will highlight the unique strengths and capabilities of SmartUQ that complement ANSYS OptiSLang
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Cutting Edge Machine Learning Software Webinar: Introduction to SmartUQ 10.0 Release
This webinar will demonstrate the new features within SmartUQ software and conclude with a Q&A session.
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Design of Experiments, Calibration, and Machine Learning for Multibody Dynamics Simulations
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce the use of SmartUQ for multibody dynamics applications. SmartUQ’s ability to integrate with multibody dynamics tools such as Adams, RecurDyn, and Dymola will also be discussed.
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Achieving Accurate and Comprehensive Machine Learning Modeling for CFD Applications
Hosted by Tech Briefs
This 60-minute webinar will explore this approach where first an ML model is trained to predict the CFD model’s results before being used in place of the CFD model to run the desired analyses. It will examine current advanced ML tools designed for simulation, digital twin, and other engineering applications.
Machine Learning and Model Calibration for Simulations and Digital Twins
Hosted by Digital Engineering
As part of a growing shift toward digital engineering, the use of simulation and digital twins is gaining momentum in aerospace, defense, automotive, industrial machinery, and semiconductor industries.
Machine Learning for Narrowing the Simulation-Test Gap: SmartUQ’s Data Matching and Bayesian Calibration
Join us for this introduction to SmartUQ's Data Matching and Bayesian Calibration and to see a demonstration of their uses.
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Introduction to SmartUQ AI and Uncertainty Quantification Software
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will provide an introduction to SmartUQ.
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SmartUQ Machine Learning Software Complements ModeFRONTIER
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will highlight the unique strengths and capabilities of SmartUQ that complement ModeFRONTIER.
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Artificial Intelligence and Machine Learning for Aerospace Simulation
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will discuss SmartUQ’s tools for benefiting simulation including design of experiments (DOE), machine learning models, statistical calibration, and optimization under uncertainty. A demonstration of SmartUQ making use of data from a simulation of an Ares launch vehicle will be included in the presentation.
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Modern Design of Experiments and Data Sampling for Simulation, Test, and Digital Twins
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will discuss SmartUQ’s design of experiment (DOE) and data sampling tools. The unique strengths and capabilities of SmartUQ’s tools will be highlighted along with a software demonstration and examples from customer use cases.
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Modern Design of Experiments, Model Validation, and Machine Learning Methods for Pharmaceutical Simulations
This webinar will discuss the role modern design of experiments and machine learning tools such as statistical calibration can play in validating and maximizing the knowledge gained from pharmaceutical simulations.
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Cutting-edge Machine Learning Software Webinar: Introduction to SmartUQ 9.1 Release
This webinar will demonstrate the new features within SmartUQ software and conclude with a Q&A session.
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SmartUQ Machine Learning Software Complements JMP (Pro) Software
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will highlight the unique strengths and capabilities of SmartUQ that complement JMP (Pro).
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Design of Experiments, Validation, and Machine Learning for Structural Simulations
This webinar will discuss the role design of experiments and machine learning tools such as statistical calibration can play in validating and maximizing the knowledge gained from structural simulations.
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Fast, Accurate, and Comprehensive Machine Learning for Automotive Simulations and Digital Twins
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.
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Fast, Accurate, and Comprehensive Machine Learning Software for Aerospace and Defense Simulations and Digital Twins
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce many of SmartUQ’s tools for simulation and digital twin applications.
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Fast, Accurate, and Comprehensive Machine Learning Software for Computational Fluid Dynamics
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce the use of SmartUQ for Computational Fluid Dynamics.
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SmartUQ Workshop: Accurate, Comprehensive Machine Learning Software for Engineering Simulation and Digital Twin Applications
During this workshop a SmartUQ Application Engineer will introduce SmartUQ and present customer simulation and digital twin use cases from a variety of industries including aerospace, defense, and automotive.
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Cutting-edge Machine Learning Software Webinar: Introduction to SmartUQ 9.0 Release
SmartUQ principal application engineer, Gavin Jones, will highlight the latest capabilities and benefits in SmartUQ 9.0.
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Uncertainty Quantification for Simulation Modeling in the Medical Device Industry
Join us for this SmartUQ software demo to learn through the use of example problems how to use SmartUQ’s most popular Machine Learning tools for solving problems found in the medical device industry.
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SmartUQ’s Best in Class Gaussian Process Models for Simulations
Join us for this free webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce SmartUQ’s GP models and present more detailed results of the benchmarks.
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Machine Learning for Prediction of Systems with Discontinuous Response: SmartUQ’s Mixed Input Classification Emulator
Join us for this introduction to SmartUQ's Mixed Input Classification Emulator and to see a demonstration of its uses.
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Machine Learning for Prediction of High Dimensional Systems: SmartUQ’s Active Dimension Hybrid Emulator
Join us for this webinar to learn about SmartUQ's Active Dimension Emulator and to see a demonstration of its uses.
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Machine Learning for Spatial and Temporal Response Prediction: SmartUQ’s Spatial/Temporal Emulator and Varying Geometry Module
Join us for this webinar to learn more about SmartUQ’s Spatial/Temporal Emulator and Varying Geometry module.
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Machine Learning for Functional Response Prediction: SmartUQ’s Functional Response Emulator
Join us for this webinar to learn about SmartUQ's Functional Response Emulator and to see a demonstration of its uses.
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Artificial Intelligence and Machine Learning for Automotive Applications
Join us for this webinar to learn how AI and machine learning models can be used to enhance automotive design and manufacturing applications.
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SmartUQ Demonstration Webinar: Introduction to SmartUQ 8.2 Release
SmartUQ principal application engineer, Gavin Jones, will highlight the latest capabilities and benefits in SmartUQ 8.2.
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Artificial Intelligence and Machine Learning for Aerospace and Defense Applications
Join us for this webinar to learn how AI and machine learning models can be used to enhance aerospace and defense design and manufacturing applications.
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Artificial Intelligence and Machine Learning for Semiconductor Design
Join us for this webinar to learn how artificial intelligence and machine learning can be used to improve the semiconductor design process.
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Artificial Intelligence and Machine Learning for Semiconductor Manufacturing
Join us for this webinar to learn how machine learning models trained on recorded data or simulations can be used.
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Digital Engineering Fundamentals
In this 8-hour course, students will gain an in-depth understanding of Digital Engineering tools, principles, and practices. They will learn to think digitally, not digitized, and to focus on DE to transform lifecycle processes to deliver knowledge enabling better decision making at the speed of relevance.
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The Role of Machine Learning and AI for Digital Twins
This webinar will introduce the role of machine learning and AI for Digital Twins.
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From Optimization to Uncertainty Quantification through Machine Learning
This webinar will provide an introduction to machine learning based UQ and emulation and their benefits to optimization. Examples will be used to highlight the additional benefits of such an approach over more basic optimization techniques.
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Machine Learning for Sensitivity Analysis of Engineering Simulations
This webinar will provide an introduction to both sampling and predictive modeling based sensitivity analysis.
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Machine Learning for Quantifying Uncertainties in Engineering Applications
Hosted by AIAA, This course will provide an introduction to ML, with particular focus on those tools and techniques required for UQ.
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Demonstrating Machine Learning for Narrowing the Simulation-Test Gap
Establishing how well a numerical simulation represents reality is one way to make simulation results more trustworthy for decision makers.
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Machine Learning and Artificial Intelligence for COMSOL® Simulations
Hosted by Mechanical Engineering, this 60-minute webinar provides an introduction to the topics of machine learning (ML) and artificial intelligence (AI) methods for analyzing COMSOL® simulations including how to address the associated challenges.
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SmartUQ Software Tutorial: Demonstrating Modern Machine Learning for the Manufacturing Industry
This 90-minute tutorial will provide an introduction to the basics of machine learning (ML). Attendees will be shown through the use of example problems how to use SmartUQ’s most popular ML tools for solving engineering problems.
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Introduction to Decision-Making Under Uncertainty for Practitioners
This webinar will discuss how predictive analytics and UQ can help decision makers in these uncertain times.
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Machine Learning and Artificial Intelligence for Engineering Simulation: Introduction and Challenges
This webinar will discuss how building ML and AI models for engineering simulations can be challenging and methods to address these challenges.
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The Blessings of Predictive Models for Fast-running Simulations
With examples from COMSOL Multiphysics, this webinar will illustrate the benefits of building a predictive model for a fast-running simulation.
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SmartUQ Mini Demo Webinar: Statistical Calibration of a Balloon Expandable Coronary Stent Simulation
This demonstration webinar will illustrate how the UQ toolset in SmartUQ can be applied to an end-to-end case study which the performance of a balloon expandable coronary stent model is analyzed with respect to geometric and material property variation.
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SmartUQ Mini Demo Webinar: Predictive Analytics and Uncertainty Quantification of a Microscale Porous Reactor Simulation
This webinar will illustrate how the analytics tools in SmartUQ software can quantify uncertainties and provide valuable insights for a simulation model of a microscale porous reactor. In addition, SmartUQ is used to determine the optimal geometric parameters for a concentration at the outlet of the reactor.
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SmartUQ Mini Demo Webinar: Lightweighting a Bracket Simulation Model with Uncertainty Quantification
This demonstration webinar will illustrate how the UQ toolset in the SmartUQ software determines the geometric parameters to minimize the bracket’s weight subject to fatigue life and maximum displacement under loading constraints.
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Predictive Analytics for the Digital Twin: An Electric Motor Use Case
The webinar will present an electric motor digital twin use case. The use case will walk through how data from physical sensors along with predictive analytic techniques like statistical calibration can improve the accuracy of a digital twin while leading to new insights such as predictive maintenance or health monitoring.
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From UP to UQ: Using Analytics to Take Uncertainties out of Engineering Simulations
This webinar will discuss and compare sampling-based and emulator-based methods for Uncertainty Propagation. Using example problems and software demonstrations for illustration, the webinar will also show how using additional UQ methods improves the decision-making process.
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Increasing the Value of Test and Evaluation through Integration of Uncertainty Quantification
This webinar will present a digital, model-based systems engineering approach to T&E enabled by uncertainty quantification.
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Solving Simulation Challenges with Statistical Methods
This webinar focuses on statistical methods for handling three classes of CAE modeling challenges: insufficient or inadequate sampling of a design space, high computational expense of simulations, disagreement of simulation models with physical tests.
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Introduction to UQ and Predictive Modeling for the Oil & Gas Industry
This webinar is an introduction to Uncertainty Quantification and predictive modeling techniques for reservoir engineers, drilling engineers, equipment design teams, simulation engineers and data scientists in the oil & gas industry who want to find ways to reduce time, improve design robustness, or make better decisions from the data they have.
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Uncertainty Quantification and Decision Analytics for Aerospace and Defense
With a SmartUQ demo for illustration, this webinar will go through the three steps of decision analytics - descriptive, predictive, prescriptive - and how Uncertainty Quantification plays a role in each.
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Enhanced Six Sigma with Uncertainty Quantification
Using three case studies for illustration, this webinar will demonstrate how simulations combined with UQ techniques can enhance Six Sigma statistical modeling processes.
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Predictive Analytics for Simulation: Coupling SmartUQ’s Analytics Toolset with MSC Adams Car
This webinar will show how SmartUQ’s predictive analytics and UQ software can enhance design exploration activities and product development in MSC Adams Car. Using a simulated roll stability test maneuver for demonstration, this webinar will explore how SmartUQ’s tools integrate with MSC Adams Car to enhance design exploration and analysis workflows.
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SmartUQ Capabilities and Strengths: A COMSOL UQ Module Comparison
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will highlight the unique strengths and capabilities of SmartUQ using the COMSOL UQ Module for comparison. Topics discussed will include SmartUQ’s design of experiments (DOEs), machine learning (aka surrogate) models, statistical calibration, inverse analysis tools, and data sampling of existing data sets.
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Coupling SmartUQ's Predictive Analytics Solutions to COMSOL Multiphysics
This webinar will show how SmartUQ software can enhance product development and design exploration activities in COMSOL through the application of predictive analytics and UQ techniques. Using a NACA airfoil CFD simulation for demonstration, this webinar will walk through SmartUQ’s analytics workflow coupled to COMSOL.
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