- Meta, Georgia Tech, and Cusp AI unveil a dataset with over 100 million data points to accelerate discovery of DAC sorbent materials using AI.
- The Open DAC 2025 Dataset enables researchers to cut R&D costs and identify efficient carbon removal solutions without physical experimentation.
- Leveraging graph neural networks and density functional theory, the tool supports development of proprietary materials for DAC and carbon credit strategies.
Meta’s Fundamental AI Research (FAIR) team, in collaboration with the Georgia Institute of Technology and artificial intelligence firm Cusp AI, has released the Open Direct Air Capture (DAC) 2025 Dataset — the largest open-access resource of its kind for carbon removal research.
