green-synthesis-evaluator
SolidSustainability assessment skill for evaluating and designing environmentally friendly nanomaterial synthesis routes
AI & Automation 1,160 stars
71 forks Updated today MIT
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Skill Content
# Green Synthesis Evaluator
## Purpose
The Green Synthesis Evaluator skill provides comprehensive sustainability assessment for nanomaterial synthesis routes, enabling design of environmentally friendly processes through green chemistry metrics and lifecycle analysis.
## Capabilities
- Green chemistry metrics calculation (E-factor, atom economy)
- Lifecycle assessment integration
- Bio-based precursor database
- Solvent sustainability scoring
- Energy consumption estimation
- Waste minimization strategies
## Usage Guidelines
### Sustainability Assessment
1. **Green Chemistry Metrics**
- E-factor = mass waste / mass product
- Atom economy = MW product / MW reactants x 100%
- Process mass intensity (PMI)
2. **Solvent Selection**
- Use GSK solvent selection guide
- Prefer water, ethanol, or bio-solvents
- Avoid chlorinated and aromatic solvents
3. **Energy Optimization**
- Minimize reaction temperatures
- Reduce processing times
- Consider microwave/ultrasonic assistance
## Process Integration
- Green Synthesis Route Development
- Nanoparticle Synthesis Protocol Development
## Input Schema
```json
{
"current_synthesis": {
"precursors": ["string"],
"solvents": ["string"],
"temperatures": ["number"],
"reagent_masses": ["number"]
},
"product_mass": "number (g)",
"product_type": "string"
}
```
## Output Schema
```json
{
"sustainability_metrics": {
"e_factor": "number",
"atom_economy": "number (%)",
"pmi"...
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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