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Machine learning identifies catalyst 'sweet spot' for greener urea from waste gases

Machine learning identifies catalyst 'sweet spot' for greener urea from waste gases
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Urea is an extremely important chemical, especially for fertilizers. But, making urea is energy intensive and relies heavily on fossil fuels. However, new findings from Griffith University and the Queensland University of Technology have highlighted new ways to produce urea electrochemically, using electricity and waste gases such as carbon monoxide (CO) and nitrogen oxides (NO) instead.

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