2020
DOI: 10.1021/acs.jpcc.0c04460
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Adsorbate-Induced Segregation of Cobalt from PtCo Nanoparticles: Modeling Au Doping and Core AuCo Alloying for the Improvement of Fuel Cell Cathode Catalysts

Abstract: Platinum, when used as a cathode material for the oxygen reduction reaction, suffers from high overpotential and possible dissolution, in addition to the scarcity of the metal and resulting cost. Although the introduction of cobalt has been reported to improve reaction kinetics and decrease the precious metal loading, surface segregation or complete leakage of Co atoms causes degradation of the membrane electrode assembly, and either of these scenarios of structural rearrangement eventually decreases catalytic… Show more

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Cited by 14 publications
(10 citation statements)
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“…In contrast, an energy barrier for Co migration (ΔE = +0.49 eV) was generated in the Au-doped PtCo alloy. The stabilizing effect of Au dopants in the PtCo alloy NPs was also verified by the DFT calculation results of Farkaš et al [97] Non-noble metal elements can also act as inhibitors of atomic diffusion in Pt-based alloy NCs. For example, In dopants in PtNi octahedral NCs could tune the atomic diffusion barrier in the NCs, as reported by Shen et al [22] The diffusion barriers of lattice Ni in Pt 2 Ni 2 and Pt 2 In 0.2 Ni 1.8 slabs were calculated by DFT simulations (Figure 13c,d).…”
Section: Wwwadvancedsciencenewscomsupporting
confidence: 52%
“…In contrast, an energy barrier for Co migration (ΔE = +0.49 eV) was generated in the Au-doped PtCo alloy. The stabilizing effect of Au dopants in the PtCo alloy NPs was also verified by the DFT calculation results of Farkaš et al [97] Non-noble metal elements can also act as inhibitors of atomic diffusion in Pt-based alloy NCs. For example, In dopants in PtNi octahedral NCs could tune the atomic diffusion barrier in the NCs, as reported by Shen et al [22] The diffusion barriers of lattice Ni in Pt 2 Ni 2 and Pt 2 In 0.2 Ni 1.8 slabs were calculated by DFT simulations (Figure 13c,d).…”
Section: Wwwadvancedsciencenewscomsupporting
confidence: 52%
“…Partial segregation of Co can be due to the synthesis technique, or it can happen shortly after exposure to air after the synthesis. Segregation of Co is known to be one of the causes of catalyst deactivation during ORR . Indeed, surface segregation of Co can fully cover Pt atoms and ultimately undermine the catalytic potential of the bimetallic system.…”
Section: Resultsmentioning
confidence: 99%
“…For instance, segregation of Co and Pt can be responsible for reduced catalytic properties after cycling. , Changes in the valence state during reaction impacts the electronic configuration at the sample’s surface and ultimately affects absorption and desorption energies for gas molecules . It is known that freshly synthesized Co–Pt particles can have compositional heterogeneities, with partial segregation of Co and Pt. Exposure of the Co–Pt system to H 2 or other nonoxidative atmospheres at elevated temperatures has been shown to improve the mixing of Co and Pt, and can lead to the formation of an intermetallic solution. ,, However, it is not clear whether some Co remains segregated and oxidized during and after annealing. This point is important because incomplete reduction and mixing of Co and Pt will impact the catalytic properties for HER, ORR, or gas-phase reactions.…”
mentioning
confidence: 99%
“…The applicability of single-component mNPs is restricted by limited property-tuning possibilities. To overcome this limitation, mNPs can be modified through the construction of bimetallic architectures consisting of two distinct metals, one or both of which should be magnetic [397][398][399][400][401][402]. Bimetallic (and multimetallic) mNPs, often referred to as magnetic nanoalloys, present properties with a very high degree of tunability owing to the variety of morphologies they can adopt.…”
Section: Alloyed Mnps: Effects Of Interfaces On Magnetic Propertiesmentioning
confidence: 99%
“…Figure 4. Relative energy stability of successive Co cluster sizes expressed as a second difference in total energy, ∆E 2 , as predicted by DFT(Datta (2007) andFarkaš (2020) [239,254]) and MD(Rives (2008) andRodriguez (2003) [252,253]) simulations.…”
mentioning
confidence: 99%