Matches in SemOpenAlex for { <https://semopenalex.org/work/W4367676544> ?p ?o ?g. }
- W4367676544 abstract "Abstract High‐entropy alloy (HEA) catalysts have been widely studied in electrocatalysis. However, identifying atomic structure of HEA with complex atomic arrangement is challenging, which seriously hinders the fundamental understanding of catalytic mechanism. Here, we report a HEA‐PdNiRuIrRh catalyst with remarkable mass activity of 3.25 mA μg −1 for alkaline hydrogen oxidation reaction (HOR), which is 8‐fold enhancement compared to that of commercial Pt/C. Through machine learning potential‐based Monte Carlo simulation, we reveal that the dominant Pd−Pd−Ni/Pd−Pd−Pd bonding environments and Ni/Ru oxophilic sites on HEA surface are beneficial to the optimized adsorption/desorption of *H and enhanced *OH adsorption, contributing to the excellent HOR activity and stability. This work provides significant insights into atomic structure and catalytic mechanism for HEA and offers novel prospects for developing advanced HOR electrocatalysts." @default.
- W4367676544 created "2023-05-03" @default.
- W4367676544 creator A5012134946 @default.
- W4367676544 creator A5013101127 @default.
- W4367676544 creator A5013244136 @default.
- W4367676544 creator A5034911893 @default.
- W4367676544 creator A5038320521 @default.
- W4367676544 creator A5053456446 @default.
- W4367676544 creator A5071458554 @default.
- W4367676544 creator A5075889094 @default.
- W4367676544 creator A5079044385 @default.
- W4367676544 creator A5088188484 @default.
- W4367676544 date "2023-05-19" @default.
- W4367676544 modified "2023-10-02" @default.
- W4367676544 title "Understanding Alkaline Hydrogen Oxidation Reaction on PdNiRuIrRh High‐Entropy‐Alloy by Machine Learning Potential" @default.
- W4367676544 cites W1952901979 @default.
- W4367676544 cites W1982414605 @default.
- W4367676544 cites W1985938896 @default.
- W4367676544 cites W2007179625 @default.
- W4367676544 cites W2025444507 @default.
- W4367676544 cites W2030228841 @default.
- W4367676544 cites W2035726530 @default.
- W4367676544 cites W2047657267 @default.
- W4367676544 cites W2048511982 @default.
- W4367676544 cites W2079391676 @default.
- W4367676544 cites W2090882998 @default.
- W4367676544 cites W2116243685 @default.
- W4367676544 cites W2117868972 @default.
- W4367676544 cites W2167035995 @default.
- W4367676544 cites W2293094845 @default.
- W4367676544 cites W2297431660 @default.
- W4367676544 cites W2516993700 @default.
- W4367676544 cites W2560553540 @default.
- W4367676544 cites W2611501537 @default.
- W4367676544 cites W2742127985 @default.
- W4367676544 cites W2746244909 @default.
- W4367676544 cites W2792143480 @default.
- W4367676544 cites W2793537370 @default.
- W4367676544 cites W2795185600 @default.
- W4367676544 cites W2824825747 @default.
- W4367676544 cites W2889349896 @default.
- W4367676544 cites W2909236073 @default.
- W4367676544 cites W2931252205 @default.
- W4367676544 cites W2934086670 @default.
- W4367676544 cites W2972052805 @default.
- W4367676544 cites W2979750733 @default.
- W4367676544 cites W2995875200 @default.
- W4367676544 cites W3020204536 @default.
- W4367676544 cites W3036595195 @default.
- W4367676544 cites W3045726791 @default.
- W4367676544 cites W3055814263 @default.
- W4367676544 cites W3088994615 @default.
- W4367676544 cites W3093483539 @default.
- W4367676544 cites W3095392500 @default.
- W4367676544 cites W3102774518 @default.
- W4367676544 cites W3105160666 @default.
- W4367676544 cites W3112795547 @default.
- W4367676544 cites W3114712504 @default.
- W4367676544 cites W3115001210 @default.
- W4367676544 cites W3118346227 @default.
- W4367676544 cites W3118432039 @default.
- W4367676544 cites W3163621061 @default.
- W4367676544 cites W3196126979 @default.
- W4367676544 cites W3197756890 @default.
- W4367676544 cites W3198989237 @default.
- W4367676544 cites W4200490305 @default.
- W4367676544 cites W4220662320 @default.
- W4367676544 cites W4220994684 @default.
- W4367676544 cites W4223512304 @default.
- W4367676544 cites W4223982163 @default.
- W4367676544 cites W4225641725 @default.
- W4367676544 cites W4225986862 @default.
- W4367676544 cites W4226021163 @default.
- W4367676544 cites W4281693722 @default.
- W4367676544 cites W4283270040 @default.
- W4367676544 cites W4308684253 @default.
- W4367676544 cites W4311924125 @default.
- W4367676544 doi "https://doi.org/10.1002/ange.202217976" @default.
- W4367676544 hasPublicationYear "2023" @default.
- W4367676544 type Work @default.
- W4367676544 citedByCount "0" @default.
- W4367676544 crossrefType "journal-article" @default.
- W4367676544 hasAuthorship W4367676544A5012134946 @default.
- W4367676544 hasAuthorship W4367676544A5013101127 @default.
- W4367676544 hasAuthorship W4367676544A5013244136 @default.
- W4367676544 hasAuthorship W4367676544A5034911893 @default.
- W4367676544 hasAuthorship W4367676544A5038320521 @default.
- W4367676544 hasAuthorship W4367676544A5053456446 @default.
- W4367676544 hasAuthorship W4367676544A5071458554 @default.
- W4367676544 hasAuthorship W4367676544A5075889094 @default.
- W4367676544 hasAuthorship W4367676544A5079044385 @default.
- W4367676544 hasAuthorship W4367676544A5088188484 @default.
- W4367676544 hasConcept C127413603 @default.
- W4367676544 hasConcept C147789679 @default.
- W4367676544 hasConcept C150394285 @default.
- W4367676544 hasConcept C161790260 @default.
- W4367676544 hasConcept C162711632 @default.
- W4367676544 hasConcept C17525397 @default.
- W4367676544 hasConcept C178790620 @default.
- W4367676544 hasConcept C185592680 @default.