To combat catastrophic climate change, excess carbon emissions must be addressed. Direct air capture technology, which extracts carbon dioxide from the air, offers a solution but faces challenges due to location-specific design requirements. A collaboration between Georgia Tech and Meta produced the innovative OpenDAC database, allowing for faster development of direct air capture technologies. This project involves machine learning models and extensive quantum chemistry calculations, leading to the identification of promising materials for carbon capture. The project aims to accelerate the development of negative-emission technologies like direct air capture to achieve crucial emission reduction goals by 2050.
https://news.gatech.edu/news/2024/05/02/georgia-tech-and-meta-create-massive-open-dataset-advance-ai-solutions-carbon