(Unofficial) GNoME Materials Discovery AI
Explore, render, and ask questions about materials discovered in the GNoME project
GNoME Materials Discovery AI is an artificial intelligence tool developed by jason.today. It is designed to explore, render, and answer questions about materials discovered in the GNoME project. With the help of Python and dalle, this AI model provides valuable insights into various materials and their properties. It can be used for research, analysis, and experimentation in the field of material science.
How to use
To use the GNoME Materials Discovery AI, follow these steps:
- Install Python and dalle on your system.
- Download the necessary files, including stable_materials_summary_backup.csv and stable_materials_summary.csv.
- Instantiate the GNoME Materials Discovery AI model in your Python environment.
- Use the provided prompt starters to interact with the AI. For example, you can ask questions like 'Show me what Ac2H4I2 looks like!' or 'What would be a good name for Mg2Tb12Tc3?'
- The AI will generate responses based on the input and provide visual renderings, information, and recommendations related to materials.
Features
- Explore and render materials discovered in the GNoME project
- Ask questions about specific materials and their properties
- Receive visual representations and information about materials
- Get recommendations for material names based on chemical composition
- Identify the probable conductivity of materials
- Discover radioactive materials
Updates
2023/11/30
Language
English (English)
Welcome message
Hello
Prompt starters
- Show me what Ac2H4I2 looks like!
- What would be a good name for Mg2Tb12Tc3?
- How do you work?
- What material would likely be most conductive?
- Are any materials radioactive? If there are, show me one!
Tools
- python
- dalle
Tags
public
reportable