To avoid catastrophic climate impacts, excessive carbon emissions must be addressed. Direct air capture, a technology that pulls carbon dioxide out of ambient air, has great potential. There are great challenges, however. For direct air capture technology, every type of environment requires a uniquely specific design based on the humidity, temperature, and air flows of that place. Now, Georgia Tech and Meta have collaborated to produce a massive database, potentially making it easier and faster to design and implement direct air capture technologies. The open-source database can help designers identify materials that work best for a given direct air capture scenario. The dataset enabled the team to train an AI model that is orders of magnitude faster than existing chemistry simulations. The project, named OpenDAC, could accelerate climate solutions the planet desperately needs.