COMSOL Application Builder, Python Automation, and Surrogate Modeling

A practical course on building simulation applications, automating COMSOL workflows with Python and accelerating analysis with surrogate models.

ECTS credits

3.0 ECTS

Teaching hours

9 hours

Instructor

Technical Engineer
Addlink Software Científico

The course is taught as a module in the Advanced Modeling, automation & optimization in COMSOL Multiphysics course.

Course overview

This course focuses on the development of advanced simulation tools using COMSOL Multiphysics.

Students learn how to transform complex multiphysics models into customised applications, automate simulation workflows using Python and the COMSOL API, and use surrogate modeling techniques to accelerate analysis and design exploration.

The course combines three complementary approaches: COMSOL Application Builder, Python-based automation for COMSOL models, and surrogate models as fast approximations of computationally expensive simulations.

By the end of the course, students will be able to develop practical simulation applications that combine COMSOL models, graphical interfaces, automated workflows and surrogate-based approaches.

Surrogate Models

Core tools covered include COMSOL Application Builder, form and interface design, Python automation, the COMSOL API, surrogate model training and fast prediction workflows.

Image made using the COMSOL Multiphysics software and provided by courtesy of COMSOL.

Syllabus

Module 01

Application Builder and basic tools

  • Introduction to COMSOL Application Builder.
  • Creation of customised simulation applications.
  • Design of forms and user interfaces.
  • Input fields, buttons, graphics and result visualisation.
  • Connection between application components and model parameters.
  • Development of simulation tools for non-expert users.
Module 02

Python automation and COMSOL API

  • Introduction to automation of COMSOL models with Python.
  • Running and controlling simulations from external scripts.
  • Automation of parametric studies.
  • Extraction, processing and export of results.
  • Integration with Python-based data analysis workflows.
  • Practical use of the COMSOL API and/or mph Python interface.
Module 03

Surrogate modeling

  • Introduction to surrogate modeling for numerical simulation.
  • Generation of datasets from COMSOL simulations.
  • Training and validation of surrogate models.
  • Fast prediction, design exploration and optimisation.
  • Integration of surrogate models into simulation workflows.

Build simulation tools that are easier to share, automate and reuse.

Continue reviewing the curriculum or visit the teaching team behind the program.