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Deep Neural Networks in Multiphysics Simulations

On-demand webinar: Deep-Neural-Networks-in-Multiphysics-Simulations

This webinar is prerecorded

Free | online | Arpad Forberger

In the world of multiphysics simulations, computational efficiency is key to delivering faster results and enabling broader adoption of simulation tools. This video recording from the SciEngineering conference 2024 explores how surrogate models, powered by deep neural networks, can revolutionize the way we approach complex simulations.

By replacing traditional finite element models with surrogate models, you can significantly reduce computational time while maintaining accuracy. This presentation provides a comprehensive overview of creating surrogate models using the design of experiments (DOE) study in COMSOL Multiphysics.

Through a detailed product demo, you’ll see how surrogate models can be integrated into custom-built apps, offering a more interactive and user-friendly experience.

In this video, you will learn:

  • How surrogate models can accelerate computational speed in multiphysics simulations.
  • The workflow for creating surrogate models using COMSOL Multiphysics.
  • The benefits of using surrogate models to spread simulation results across your organization.
  • Key functions and tools used in surrogate modeling.
  • How to integrate surrogate models into custom-built apps for enhanced usability.

Agenda:

  • What is finite element modeling
  • Pros and cons of FEM
  • Surrogate modeling workflow
  • Surrogate model functions
  • Building a custom application using a surrogate model

Watch this video if you’re a:

  • Team lead or an engineer, and you want to discover how surrogate models in COMSOL Multiphysics can help you speed up simulations, boost efficiency, make better decisions, and scale simulation efforts across your organization.

Why attend?


Whether you’re a simulation expert or new to multiphysics modeling, this presentation will equip you with the knowledge and tools to leverage surrogate models for faster, more efficient simulations. By the end of the video, you’ll understand how to create, validate, and integrate surrogate models into your workflow, enabling you to deliver results faster and easily share insights across your organization.

Featured products

All products mentioned are developed by COMSOL.

How to Access:

To watch the webinar, simply fill out the form on this page. Once registered, you’ll gain immediate access and can watch it directly on the page. Additionally, you’ll receive an email with a link to access the on-demand session at your convenience.

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Deep Neural Networks in Multiphysics Simulations

About the Speaker(s)


  • Arpad Forberger

    Application Engineer

    Arpad is an application engineer at SciEngineer. His research and consulting work focus on technical computing and finite element modeling.

Register now and start learning!

This webinar is prerecorded. Register for an access link!
Free | online | Arpad Forberger

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