Atomistic study of CoCrCuFeNi high entropy alloy nanoparticles: Role of chemical complexity

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Alice Vermale , Lilian Khelladi , Javier Rojas-Nunez , Samuel Baltazar , José Rogan , Max Ramirez , Fiorella Roco , Felipe J. Valencia
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Abstract

High entropy alloy nanoparticles are envisaged as one of the most interesting materials compared to monoatomic materials due to their modulated properties in terms of their convenient surface-to-volume ratio. However, studies are still missing to unveil how composition or nanoparticle size can influence nanoparticle morphology. Based on molecular dynamics simulations, we perform a structural characterization as a function of nanoparticle size and the chemical composition of high entropy alloy nanoparticles subject to multiple annealing cycles. After the multiple thermal loads, we observe a substantial migration of copper atoms towards the np surface, consistent with the experimental results of Cu-based high entropy alloys. The resulting high entropy alloy nanoparticle behaves as a core–shell nanostructure with a rich fcc phase on the surface (50% of Cu) and 5% fcc phase in the nanoparticle core. Inspecting the nanoparticle surface, it is observed that high entropy alloy nanoparticles have a lack of surface facets, leading to a more spherical shape, quite different from mono-metallic nanoparticles with a high number of facets. Performing an average atoms simulation, it showed that nanoparticles are prone to form 111 surface facets independent of the nanoparticle size, suggesting that for high entropy alloy nanoparticles, the chemical complexity avoids the formation of surface facets. The latter can be explained in terms of the lattice distortion inducing tensile/compressive stress that drives the surface reconstruction. All in all our results match extremely well with experimental evidence of FeNiCrCoCu nanocrystalline materials, explaining the Cu segregation in terms of surface energy and mixing enthalpy criteria. We believe that our results provide a detailed characterization of high entropy nanoparticles focusing on how chemical complexity induces morphological changes compared to mono-crystalline nanoparticles. Besides, our findings are valuable for experimental works aimed at designing the shape and composition of multicomponent nanoparticles.

Abstract Image

CoCrCuFeNi 高熵合金纳米颗粒的原子研究:化学复杂性的作用
与单原子材料相比,高熵合金纳米粒子被认为是最有趣的材料之一,因为它们的表面与体积比易于调节。然而,目前仍缺少揭示成分或纳米粒子尺寸如何影响纳米粒子形态的研究。基于分子动力学模拟,我们对经过多次退火循环的高熵合金纳米粒子进行了结构表征,并将其作为纳米粒子尺寸和化学成分的函数。经过多次热负荷后,我们观察到铜原子向纳米颗粒表面大量迁移,这与铜基高熵合金的实验结果一致。由此产生的高熵合金纳米粒子表现为核壳纳米结构,表面富含 fcc 相(50% 的铜),纳米粒子核心含有 5% 的 fcc 相。通过观察纳米粒子表面,可以发现高熵合金纳米粒子的表面缺乏刻面,因此形状更像球形,这与刻面数量较多的单金属纳米粒子截然不同。进行平均原子模拟后发现,纳米粒子容易形成 111 个表面刻面,这与纳米粒子的大小无关,表明对于高熵合金纳米粒子,化学复杂性避免了表面刻面的形成。后者可以用晶格畸变引起的拉伸/压缩应力驱动表面重构来解释。总之,我们的结果与铁镍铬钴铜纳米晶材料的实验证据非常吻合,可以从表面能和混合焓标准的角度解释铜偏析。我们相信,我们的研究结果提供了高熵纳米粒子的详细特征,重点是与单晶纳米粒子相比,化学复杂性如何诱导形态变化。此外,我们的发现对于旨在设计多组分纳米粒子的形状和组成的实验工作也很有价值。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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