Automate topic-neutral COMSOL Multiphysics optical, semiconductor, thermal, and coupled optoelectronic simulations through Python/mph. Use when a user needs...
---
name: comsol-opto-simulation
description: >
Automate topic-neutral COMSOL Multiphysics optical, semiconductor,
thermal, and coupled optoelectronic simulations through Python/mph.
Use when a user needs COMSOL environment discovery, project configuration,
parameter sweeps, solver diagnostics, or simulation post-processing.
homepage: https://github.com/leima-max/comsol-opto-simulation-skill
metadata:
{
"openclaw":
{
"requires": { "bins": ["python"] },
},
}
---
# COMSOL Optical / Optoelectronic Simulation
Automate COMSOL Multiphysics simulations through the `mph` Python interface for user-configured optical, semiconductor, thermal, or coupled multiphysics projects.
This skill is topic-neutral. It does not assume a material stack, device type, measured benchmark, local COMSOL path, or default parameter set.
## OpenClaw / ClawHub Quick Start
Install from ClawHub:
```powershell
openclaw skills install comsol-opto-simulation
```
After installation, verify the offline helpers before any license-consuming COMSOL run:
```powershell
python scripts/test_sweep_offline.py
python scripts/discover_comsol_environment.py --pretty
```
Run `python scripts/install_mph.py` only when the user approves dependency installation. It installs Python bridge packages into a skill-local `vendor/site-packages` directory and does not install COMSOL or provide a license.
## Scope
Use this skill for:
- optical absorption and field-distribution models
- semiconductor or transport models
- thermal-electrical coupled models
- parameter sweeps and batch studies
- post-processing of simulated device or sample metrics
- convergence diagnostics and solver fallback planning
Do not use this skill to invent missing material parameters, boundary conditions, or validation data. Ask the user to configure those values first.
## Required User Configuration
Before running COMSOL automation, collect or confirm:
- COMSOL installation path and available modules
- geometry dimension and domain/layer list
- material parameters and their sources
- optical constants or source/excitation terms
- electrical/thermal/mechanical boundary conditions as relevant
- solver strategy and sweep variables
- output metrics and validation criteria
Use:
- `templates/device_stack.json`
- `templates/config_sweep.json`
- `templates/config_thermal.json`
- `templates/official_photogeneration_coupling.json`
- `references/script-map.md`
- `references/material-database.md`
- `references/input-schema.md`
as generic templates only.
## Workflow
1. Discover local COMSOL:
```bash
python scripts/discover_comsol_environment.py --pretty
```
2. Check official resources and licenses when the user permits a license-consuming check:
```bash
python scripts/probe_application_library_examples.py --pretty
python scripts/check_comsol_products.py --skip-start --pretty
```
3. Install or verify the workspace-local Python bridge:
```bash
python scripts/install_mph.py
```
4. Create a project-specific config by copying a template and replacing all `<UNCONFIGURED>` values.
5. Run the appropriate script:
```bash
python scripts/run_optoelectronic_sim.py --config <project_config.json>
python scripts/run_parameter_sweep.py --config <project_sweep_config.json>
```
If unsure which script to use, read `references/script-map.md` first.
6. Inspect exported plots, CSV files, JSON summaries, and COMSOL model artifacts under `output/`.
7. Report assumptions, fitted parameters, solver settings, convergence status, and validation gaps.
## Prerequisites
- COMSOL Multiphysics compatible with the selected physics
- Required COMSOL modules for the selected model
- Python 3.10+
- Java runtime compatible with COMSOL/mph
## Escalation
- If COMSOL is not installed, ask the user to provide the installation path or install COMSOL.
- If a required module is missing, report the missing module and suggest a reduced model if possible.
- If a simulation diverges, reduce step size, simplify physics, inspect material parameters, adjust scaling, and add continuation or fallback strategies.
- If a parameter sweep fails mid-way, use checkpoint/resume behavior where configured.
## References
- `references/input-schema.md`
- `references/material-database.md`
- `references/comsol-api-patterns.md`
- `references/comsol-docs-java-playbook.md`
- `references/comsol-official-learning-roadmap.md`
- `references/comsol-convergence-diagnostics.md`
- `references/comsol-official-photogeneration-template.md`
- `references/thermal-coupling-guide.md`
- `references/parameter-sweep-guide.md`
don't have the plugin yet? install it then click "run inline in claude" again.