Machine learning found 6 CO2-to-fuel solvents.

Stony Brook researchers used machine learning to shortlist solvents for CO2 electroreduction — the clean-electricity process that converts waste carbon into fuels.

Solvents are the rate-limiting step in carbon-to-product chemistry; the 6 candidates await lab validation.

Sources: Phys.org