comsol-multiphysics-executor

a5c-ai/babysitter · Agent Skill

Esegue la modellazione su scala continua per nanomateriali e dispositivi, analizzando trasferimento di calore, elettromagnetismo e fluidodinamica.

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Opzioni di installazione

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Installa con Claude o Codex

Copia il prompt, incollalo in Claude, Codex o un altro assistente: analizzerà la pagina dello skill e lo installerà.

I'd like to install this Claude Code skill:
https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/nanotechnology/skills/comsol-multiphysics-executor

Please review the SKILL.md file, verify the skill is legitimate, then copy the skill folder into .claude/skills/ of my project.

File dello skill

1 file Scarica ZIP

Leggi SKILL.md e i file correlati prima di installare. Clicca un file per l'anteprima.

Contenuto di SKILL.md

Testo originale dell'autore · sola lettura

COMSOL Multiphysics Executor

Purpose

The COMSOL Multiphysics Executor skill provides continuum-level simulation capabilities for nanomaterial and nanodevice modeling, enabling multi-physics analysis of heat transfer, electromagnetics, fluid dynamics, and coupled phenomena.

Capabilities

  • Heat transfer modeling
  • Electromagnetic simulations
  • Fluid dynamics at nanoscale
  • Structural mechanics
  • Chemical transport modeling
  • Multi-physics coupling

Usage Guidelines

Multiphysics Modeling

1. Geometry and Meshing

  • Create or import geometry
  • Define physics-aware mesh
  • Handle multi-scale features

2. Physics Setup

  • Select appropriate modules
  • Define boundary conditions
  • Set material properties

3. Solution and Analysis

  • Choose solver settings
  • Run parametric studies
  • Post-process results

Process Integration

  • Multiscale Modeling Integration
  • Nanodevice Integration Process Flow

Input Schema

{
  "geometry_file": "string",
  "physics_modules": ["heat_transfer", "electromagnetics", "fluid_flow"],
  "materials": [{"domain": "number", "material": "string"}],
  "boundary_conditions": [{"boundary": "string", "type": "string", "value": "number"}],
  "study_type": "stationary|transient|frequency"
}

Output Schema

{
  "solution_converged": "boolean",
  "field_results": [{
    "field": "string",
    "max": "number",
    "min": "number",
    "average": "number"
  }],
  "derived_quantities": [{
    "name": "string",
    "value": "number",
    "unit": "string"
  }],
  "export_files": ["string"]
}