---
name: material-model-library-d048e79c5de9
description: Biomaterial constitutive model library skill providing validated material properties for biological tissues and implant materials
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Edit
  - Bash
metadata:
  specialization: biomedical-engineering
  domain: science
  category: Biomechanics and Structural Analysis
  skill-id: BME-SK-012
graph:
  domains: [domain:biomedical-engineering]
  skillAreas: [skill-area:physics-simulation, skill-area:mathematical-reasoning, skill-area:statistical-analysis]
  workflows: [workflow:experiment-design, workflow:peer-review-cycle]
  roles: [role:biomedical-engineer, role:research-engineer]
---

# Material Model Library Skill

## Purpose

The Material Model Library Skill provides validated constitutive models and material properties for biological tissues and implant materials, supporting accurate biomechanical simulations and device design.

## Capabilities

- Tissue material property database (bone, cartilage, soft tissue)
- Hyperelastic model parameter sets (Mooney-Rivlin, Ogden)
- Viscoelastic and poroelastic models
- Implant material database (Ti-6Al-4V, CoCrMo, PEEK)
- Degradation model parameters
- Temperature and rate-dependent properties
- Anisotropic material definitions
- Age and disease-state variations
- Material property uncertainty quantification
- Literature reference compilation
- Custom material fitting tools

## Usage Guidelines

### When to Use
- Assigning material properties for FEA
- Selecting materials for device design
- Validating simulation models
- Conducting parametric studies

### Prerequisites
- Analysis type defined
- Loading conditions characterized
- Relevant tissue/material types identified
- Accuracy requirements established

### Best Practices
- Verify material sources and validation status
- Consider patient-specific variations
- Account for rate-dependency when relevant
- Document material model assumptions

## Process Integration

This skill integrates with the following processes:
- Finite Element Analysis for Medical Devices
- Biomaterial Selection and Characterization
- Orthopedic Implant Biomechanical Testing
- Scaffold Fabrication and Characterization

## Dependencies

- Material property databases
- Literature compilations
- Experimental characterization data
- FEA software material libraries
- Material testing standards

## Configuration

```yaml
material-model-library:
  tissue-types:
    - cortical-bone
    - cancellous-bone
    - cartilage
    - tendon
    - ligament
    - muscle
    - skin
    - vascular
  implant-materials:
    - Ti-6Al-4V
    - CoCrMo
    - PEEK
    - UHMWPE
    - stainless-steel
  model-types:
    - linear-elastic
    - hyperelastic
    - viscoelastic
    - poroelastic
```

## Output Artifacts

- Material property datasets
- Constitutive model parameters
- Material cards for FEA software
- Property validation reports
- Literature reference lists
- Uncertainty quantification data
- Material selection recommendations
- Model fitting results

## Quality Criteria

- Material properties from validated sources
- Model parameters appropriate for loading conditions
- Uncertainty properly characterized
- References properly documented
- Models validated against experimental data
- Assumptions clearly stated


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Education & Research, Product Management
Roles: Product Manager, Researcher
Specialties: API
Tools: Fea Software
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: bc130e8944a9159319b9c551a9391ef09a38253c2d25a319d9c1f0afea98033c