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Scientists used AI to identify nearly 10,000 chemical reactions relevant to converting carbon dioxide into fuels and chemicals, revealing pathways missed by traditional models and improving predictions of CO2 conversion efficiency, including a surprising hydrogen reaction that could inform more efficient catalysts.