Learn COMSOL-MULTIPHYSICS-SCRIPTING with Real Code Examples
Updated Nov 27, 2025
Practical Examples
Batch simulation of heat dissipation in electronic components
Automated parametric study of fluid flow in channels
Electrostatics and heat transfer coupled simulations
Optimizing geometry parameters for structural performance
Exporting simulation results to MATLAB for custom plotting
Troubleshooting
Check geometry and physics objects are properly referenced
Validate mesh quality and solver settings
Ensure study type matches intended simulation
Monitor MATLAB console for API or COMSOL errors
Step through script interactively for debugging complex workflows
Testing Guide
Verify model correctness with a small test case
Check convergence and mesh independence
Validate boundary conditions and material properties
Compare scripted results with manual GUI runs
Run parametric sweeps to check consistency
Deployment Options
Batch simulations via MATLAB scripts
Export data for reports and presentations
Integrate with optimization routines
Automate multi-model studies for design exploration
Use HPC or cloud resources for large parametric sweeps
Tools Ecosystem
COMSOL Multiphysics GUI for model creation
COMSOL API for MATLAB and Java scripting
Optimization, Sensitivity, and AC/DC modules
LiveLink for MATLAB for seamless integration
High-performance computing support for batch runs
Integrations
MATLAB for advanced postprocessing and plotting
Java API for standalone automation
External data sources (CSV, Excel, databases) for input
Embedded code or user-defined functions for custom physics
Integration with version control and HPC clusters
Productivity Tips
Modularize scripts and model components
Automate repetitive simulation tasks
Use MATLAB for postprocessing and plotting
Leverage batch and parametric sweeps
Document scripts and workflow clearly
Challenges
Complex multiphysics model setup programmatically
Debugging object hierarchy and API calls
Managing simulation data efficiently
Ensuring reproducibility across COMSOL versions
Optimizing scripts for performance on large-scale simulations