Explore AI for Modelling and Simulation at the next COMSOL Day

Thursday 29 October 2026

Artificial intelligence is creating new opportunities to enhance multiphysics modelling and simulation, from generating synthetic training data and accelerating model development to automating workflows and making simulation more accessible.

Join COMSOL Day: AI for Modelling and Simulation on November 19, 2026, at 9am GMT to explore how AI and machine learning can be used alongside COMSOL Multiphysics® to support engineering and scientific applications.

Explore AI for Modelling and Simulation:

Modelling with AI in COMSOL Multiphysics® - Discover how physics-based simulation can be combined with AI tools, including synthetic data generation and AI-assisted workflows;

Synthetic Multiphysics Data for AI Training - Learn how COMSOL Multiphysics® can generate synthetic datasets from single-physics and coupled physics simulations to train AI models for applications across engineering disciplines;

Uncertainty Quantification - Explore how probabilistic design, sensitivity analysis and uncertainty propagation can help engineers understand risks and improve the reliability of simulation results;

Simulation Apps and Digital Twins - Discover how the Application Builder and COMSOL Compiler™ can make simulation tools more accessible, support collaboration and enable digital twin and surrogate model workflows;

Generative and Agentic AI with COMSOL® - See how AI tools can assist with code generation, debugging and modelling tasks, and how AI agents can automate parts of the simulation workflow using the COMSOL API;

From Simulation to Engineering Intelligence – Hear from keynote speakers and industry experts as they discuss emerging AI technologies, GPU-accelerated computation, surrogate modelling, optimisation and the future of multiphysics simulation.

From generating AI training data to automating workflows and enabling wider access to simulation, discover how AI technologies can complement physics-based modelling and support new approaches to engineering and research.