Artificial intelligence is opening up new ways to optimise simulation workflows, from automating repetitive processes and generating code to accelerating model development and supporting more efficient ways of working.
Explore six examples demonstrating how AI technologies can be used alongside COMSOL Multiphysics® to support simulation and design workflows.
Explore six examples of AI and simulation:
- Synthetic Data Generation – Discover how COMSOL Multiphysics® can generate synthetic data for training physics AI models using simulations of single and coupled physics systems;
- AI Agents and Agentic Workflows – See how COMSOL Multiphysics® can be used alongside AI agents to reduce repetitive work and streamline simulation and design workflows;
- Data Transfer and Conversion – Learn how AI tools can help automate the process of importing and converting data from other sources, reducing time spent on repetitive tasks;
- Code Generation for Modelling Tasks – Explore how ChatGPT™ can generate Java® code that can be used to perform simple modelling tasks in COMSOL Multiphysics®;
- Medical Device Design – See how the Chatbot window in COMSOL Multiphysics® can assist with implementing thermal dose calculations to analyse unwanted tissue heating caused by medical devices;
- AI Across Industry and Academia – Hear from thought leaders as they discuss AI, natural language processing and the future of multiphysics simulation.
From automating modelling tasks to supporting new approaches to simulation, discover how AI technologies can help optimise workflows and complement the capabilities of COMSOL Multiphysics®.
Explore AI-Assisted Simulation Capabilities: https://www.comsol.com/c/iidh
