Effect of Particle Size and Alloying with Gallium and Zinc in Copper Nanoparticles from Ab Initio Molecular Dynamics

27 August 2024, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Supported nanoparticles (NPs) are an intense field of research in both industry and academia due to their unique catalytic properties in particular. Yet, establishing relationships between structure and activity has remained a challenge due to multiple possible compositions, interfaces, and even alloy formation. This is especially pronounced for bimetallic NPs used in CO2 hydrogenation to methanol, where the structure responds dynamically to the chemical potential of the reactants and products, resulting in distinct surface structures depending on the exact reaction conditions. These phenomena have been highlighted by combining ab initio Molecular Dynamics (AIMD) and Metadynamics (MTD) in conjunction with in situ X-ray absorption spectroscopy, chemisorption, and CO-IR. Here, we aim to understand how particle size and simulation temperature influence the structure and dynamics of small Cu NPs using the diffusion coefficients and the radial distribution function/atomic pair density function as descriptors using unbiased AIMD simulations. We found that decreasing the particle size or increasing the simulation temperature results in increased atom mobility, highlighted by the increased metal diffusion and resulting in decreased particle crystallinity. We also find that alloying Cu with Ga significantly increases the diffusion of both elements in the particle compared to the monometallic ones, while such diffusion lies in between the individual elements composing the CuZn particles.

Keywords

Copper
Particle Size
Alloying
Diffusion Coefficient
Radial Distribution Function
Ab Initio Metadynamics

Supplementary materials

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Supplementary information
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It contains the description of additional functions, additional data on particle optimization, further data on AIMD simulations, and related analysis.
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