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Machine Learning Accelerates the Discovery of Efficient Oxygen Reduction Electrocatalysts High-Entropy Intermetallic Compounds Pt(FeCoNiCuZn)3
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Machine Learning Accelerates the Discovery of Efficient Oxygen Reduction Electrocatalysts High‐Entropy Intermetallic Compounds Pt(FeCoNiCuZn) 3
15小时前
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Theoretical predictions of high-performance dual-atom alloys for the decomposition of formic acid
5天前
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Electrocatalysis Informatics Driven Design of Formic Acid‐Producing Alloy Catalysts for CO 2 Electroreduction
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Machine Learning Accelerates the Discovery of Efficient Oxygen Reduction Electrocatalysts High‐Entropy Intermetallic Compounds Pt(FeCoNiCuZn) 3
9天前
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Why Is Methanol Formation Suppressed in CO 2 Reduction Over Copper Electrocatalysts?
9天前
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High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation
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Active learning-driven multi-objective design of high-entropy alloy catalysts for saline water electrolysis
23天前
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From electricity to fuels: Descriptors for C1 selectivity in electrochemical CO2 reduction
29天前
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Active learning-driven multi-objective design of high-entropy alloy catalysts for saline water electrolysis
1个月前
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