Scientists learn how to make oxygen “perform” for them

Chemists have figured out how to keep “the wave” of one particular isotope of oxygen – among the most abundant elements on the planet and a crucial building block for materials like glass and ceramics – going during nuclear magnetic resonance spectroscopy long enough to learn some things about its structure and function.

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Machine-Learning Analysis of X-ray Data Picks Out Key Catalytic Properties

Scientists seeking to design new catalysts to convert carbon dioxide (CO2) to methane have used a novel artificial intelligence (AI) approach to identify key catalytic properties. By using this method to track the size, structure, and chemistry of catalytic particles under real reaction conditions, the scientists can identify which properties correspond to the best catalytic performance, and then use that information to guide the design of more efficient catalysts.

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