Discover Tomorrow's Battery Materials Today with Large Quantitative Models (LQMs)
Session Types
Open Tech Forum
Session Theme
Battery Intelligence
Outcomes & Key Takeaway 1
Our research, based on extensive data from raw material suppliers and cell makers, ensures our findings are practical and applicable.
Outcomes & Key Takeaway 2
Our proposal shows early battery degradation prediction enhances cost savings, lifecycle management, and sustainability by extending battery life.
Outcomes & Key Takeaway 3
Our study reveals how graph neural networks surpass traditional models in predicting battery life and performance.
Tracks
Speakers
Technical Lead of Materials Science at SandboxAQ
Categories
Education Pass Types
- 2 Day Pass, 1 Day Pass, Speaker Pass, Media Pass
- Expo Pass