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A “ML-DFT-Experiment” integrated strategy accelerates the design of high-performance multi-principal alloy HER electrocatalysts via machine learning prediction. Density functional theory calculations and experiments validate the model, identifying NbZnCo2 alloy as the cost-performance optimal candidate.
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HIGHER EDUCATION PRESS
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