AI Agents & Applications · beginner · concept 234 of 311 · Updated Nov 4, 2026
AI for Climate, Weather and Materials
Machine-learned models now forecast the weather and propose new materials. GraphCast, a graph neural network trained on decades of reanalysis data, makes a 10-day global forecast in under a minute and beat the leading physics-based system on more than 90% of tested targets. ECMWF put its own AI model, AIFS Single, into operation in February 2025. In materials, DeepMind's GNoME predicted 2.2 million new crystals, 380,000 of them stable.
Top AI contributors on this
- Demis HassabisGoogle DeepMind (chair) / Isomorphic Labs
- Daphne Kollerinsitro
- Alexandr ZhavoronkovInsilico Medicine
- Pushmeet KohliGoogle DeepMind / Google Cloud
- Kyunghyun ChoOrtet / New York University
Key terms
Where you meet it in the real world
Daily and medium-range weather forecasts, extreme-event warnings, renewable energy planning, battery and solar material screening, carbon capture sorbents
Videos
Google DeepMind · YouTube
NVIDIA · YouTube
Microsoft Research · YouTube
Guides and articles
Climate Change AI
Wikipedia
Climate Change AI
Climate Change AI
Courses, papers, and more