Georgia Tech/Meta Create Open Dataset to Advance AI for Carbon Capture

Georgia Tech collaborates with Meta to create an expansive open-source dataset, designated OpenDAC, to enhance the development of AI-driven carbon capture solutions. The massive dataset and AI model aim to expedite direct air capture technology design, reducing costs and potentially accelerating climate mitigation efforts. Their joint research has been published in ACS Central Science.

• A massive database for direct air capture technology was developed.
• OpenDAC dataset contains data for 8,400 materials.
• About 40 million quantum mechanics calculations power the database.
• The project's AI model predicts carbon dioxide interactions with materials.
• Researchers identified 241 MOFs with high potential for carbon capture.