The approach directly converts the greenhouse gas into formate, a solid fuel that can be stored indefinitely and could be used to heat homes or power industries.
Researchers develop a groundbreaking automated system paired with machine learning to expedite the identification of efficient and low-toxicity materials for next-generation solar cells. The innovation promises to revolutionize solar energy research.
