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基于核壳纳米粒子的五元、六元和七元高熵合金纳米粒子催化剂以及粒子内异质性的意义。

Quinary, Senary, and Septenary High Entropy Alloy Nanoparticle Catalysts from Core@Shell Nanoparticles and the Significance of Intraparticle Heterogeneity.

作者信息

Bueno Sandra L A, Leonardi Alberto, Kar Nabojit, Chatterjee Kaustav, Zhan Xun, Chen Changqiang, Wang Zhiyu, Engel Michael, Fung Victor, Skrabalak Sara E

机构信息

Department of Chemistry, Indiana University─Bloomington, 800 E. Kirkwood Avenue, Bloomington, Indiana47405, United States.

ISIS Neutron and Muon Facility, UKRI-Science and Technical Facility Council, Harwell Science Campus, Didcot, OX11 0YJOxfordshire, U.K.

出版信息

ACS Nano. 2022 Nov 22;16(11):18873-18885. doi: 10.1021/acsnano.2c07787. Epub 2022 Oct 18.

Abstract

Colloidally prepared core@shell nanoparticles (NPs) were converted to monodisperse high entropy alloy (HEA) NPs by annealing, including quinary, senary, and septenary phases comprised of PdCuPtNi with Co, Ir, Rh, Fe, and/or Ru. Intraparticle heterogeneity, i.e., subdomains within individual NPs with different metal distributions, was observed for NPs containing Ir and Ru, with the phase stabilities of the HEAs studied by atomistic simulations. The quinary HEA NPs were found to be durable catalysts for the oxygen reduction reaction, with all but the PdCuPtNiIr NPs presenting better activities than commercial Pt. Density functional theory (DFT) calculations for PdCuPtNiCo and PdCuPtNiIr surfaces (the two extremes in performance) found agreement with experiment by weighting the adsorption energy contributions by the probabilities of each active site based on their DFT energies. This finding highlights how intraparticle heterogeneity, which we show is likely overlooked in many systems due to analytical limitations, can be leveraged toward efficient catalysis.

摘要

通过退火将胶体法制备的核壳纳米颗粒(NPs)转化为单分散的高熵合金(HEA)纳米颗粒,包括由PdCuPtNi与Co、Ir、Rh、Fe和/或Ru组成的五元、六元和七元相。对于含有Ir和Ru的纳米颗粒,观察到颗粒内的不均匀性,即单个纳米颗粒内具有不同金属分布的子域,并通过原子模拟研究了高熵合金的相稳定性。发现五元高熵合金纳米颗粒是氧还原反应的耐用催化剂,除了PdCuPtNiIr纳米颗粒外,所有纳米颗粒的活性均优于商业Pt。对PdCuPtNiCo和PdCuPtNiIr表面(性能的两个极端)进行的密度泛函理论(DFT)计算发现,通过基于每个活性位点的DFT能量的概率对吸附能贡献进行加权,与实验结果一致。这一发现突出了颗粒内的不均匀性如何能够被用于高效催化,而我们表明由于分析限制,这种不均匀性在许多系统中可能被忽视。

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