MohamedBiz/aura-lab-materials-discovery

🚀 Aura Lab: AI-Powered Materials Discovery

Find the perfect materials for next-generation solid-state batteries!

What is this?

Aura Lab uses Physics-Informed Machine Learning (PIML) to predict the properties of battery materials in seconds instead of years. Our AI has analyzed 21,000+ materials and discovered 50 promising candidates for solid-state batteries.

Features

• —🎯 Test a Material: Enter any lithium-based material formula and get instant predictions
• —🏆 Our AI's Best Picks: See the top 10 materials ranked by overall performance
• —ℹ️ How It Works: Learn about our AI models and methodology

Predicted Properties

1. 1.⚡ Speed (Ionic Conductivity): How fast lithium ions move through the material
2. 2.🏗️ Strength (Stability): How stable and safe the material is
3. 3.💎 Safety (Band Gap): How well the material prevents short circuits

Technology

• —Models: Random Forest, Gradient Boosting, XGBoost
• —Dataset: 21,307 lithium materials from Materials Project + 599 from OBELiX
• —Features: 41 engineered features (compositional, structural, electronic)
• —Performance: R²=0.670 (conductivity), R²=0.482 (stability), R²=0.778 (band gap)

Top Discovery

LiAlSiO4 (Eucryptite family)

• —Conductivity: 3.25×10⁻³ S/cm ⭐⭐⭐⭐
• —Stability: 0.0035 eV/atom ⭐⭐⭐⭐⭐
• —Band Gap: 5.06 eV ⭐⭐⭐⭐⭐
• —Overall Score: 0.870

About Aura Lab

We're building an AI-accelerated materials discovery platform to find novel solid-state battery electrolytes in 60 days instead of 10+ years. Join us in revolutionizing energy storage!

Contact: Learn More