2022
DOI: 10.1088/1361-6463/ac7367
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PtNi multi-branched nanostructures as efficient bifunctional electrocatalysts for fuel cell

Abstract: Fuel cells are highly efficient conversion devices to alleviate energy crisis and environmental pollution, but still encounter technical challenges to further improve catalytic efficiency of Pt-based electrocatalysts. In this work, PtNi multi-branched nanostructures (PtNi MBNs) were successfully prepared by a simple and economical one-step solvothermal method. The average diameter of the branches is about 9 nm, with numerous atom steps and Pt-rich surface. The prepared electrocatalyst shows excellent bifunctio… Show more

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Cited by 2 publications
(2 citation statements)
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“…8,9 All of these intriguing biological, chemical, and physical properties depend upon the nanostructures' branched morphologies, but the morphology control can only garner limited support from the current understanding of the branching mechanism. [10][11][12][13][14] Hence a deeper mechanistic understanding is called for. Specifically, the intrinsic complexity, i.e., instability-induced symmetry breaking and non-equilibrium process-induced kinetic trapping, are not sufficiently understood to predict the timing and extent of branching.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…8,9 All of these intriguing biological, chemical, and physical properties depend upon the nanostructures' branched morphologies, but the morphology control can only garner limited support from the current understanding of the branching mechanism. [10][11][12][13][14] Hence a deeper mechanistic understanding is called for. Specifically, the intrinsic complexity, i.e., instability-induced symmetry breaking and non-equilibrium process-induced kinetic trapping, are not sufficiently understood to predict the timing and extent of branching.…”
Section: Introductionmentioning
confidence: 99%
“…8,9 All of these intriguing biological, chemical, and physical properties depend upon the nanostructures' branched morphologies, but the morphology control can only garner limited support from the current understanding of the branching mechanism. 10–14 Hence a deeper mechanistic understanding is called for. Specifically, the intrinsic complexity, i.e.…”
Section: Introductionmentioning
confidence: 99%