Machine learning concocts carbon dioxide conversion catalyst
Computation guides experiments towards a de-alloyed copper–aluminium catalyst
Researchers in Canada, the US and China have developed a machine-learning algorithm and used it to find the most promising catalysts for the electrochemical reduction of carbon dioxide to ethylene.