Theory‐Guided Machine Learning to Predict the Performance of Noble Metal Catalysts in the Water‐Gas Shift Reaction

Machine learning (ML) has widespread applications in catalyst discovery and reaction optimization. We present a theory‐guided machine learning framework to evaluate the carbon monoxide (CO) conversion performance of noble metal catalysts in water‐gas shift (WGS) reaction. Our study is based on an op...

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