2022
DOI: 10.1021/acs.langmuir.1c03191
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Adsorption of Oxygen to High Entropy Alloy Surfaces for up to 2 ML Coverage Using Density Functional Theory and Monte Carlo Calculations

Abstract: High-entropy alloys (HEAs) manufactured with refractory elements are candidates for high-temperature structural applications. To enhance our understanding of oxidation in these complex systems, the early stages of oxidation on the surface of Al 10 Nb 15 Ta 5 Ti 30 Zr 40 were studied using density functional theory and thermodynamic modeling. Surface slabs were generated from bulk configurations sampled from equilibrium using a multicell Monte Carlo method for phase prediction. The bulk structure was found to b… Show more

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Cited by 13 publications
(6 citation statements)
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“…A state-of-the-art hybrid MC and DFT approach was employed in order to develop MPEA models sampled from equilibrium 30 . Herein, the ability to predict electrochemical activity of an MPEA using computer simulation was investigated.…”
Section: Methodsmentioning
confidence: 99%
“…A state-of-the-art hybrid MC and DFT approach was employed in order to develop MPEA models sampled from equilibrium 30 . Herein, the ability to predict electrochemical activity of an MPEA using computer simulation was investigated.…”
Section: Methodsmentioning
confidence: 99%
“…Al and E bulk HEA are the total energies of bulk Al and bulk HEA, γ Al and γ HEA are surface energies of Al and HEA layers with free surfaces, respectively. To figure out the interfacial energy, the surface energy γ sur , i.e., either γ Al or γ HEA , is calculated by using the equation below [40],…”
Section: The Interfacial Energymentioning
confidence: 99%
“…Despite being challenging, a handful of endeavors have been made in the past to search for the most stable adsorbate-alloy configuration under a given condition. The majority of theoretical studies rely on Monte Carlo (MC) simulations to search for the stationary states of alloy catalysts in the presence of adsorbates [32][33][34][35][36][37][38][39][40] . Recently, evolutionary algorithm (EA) emerges as an alternative solution to search for the most stable adsorbate-alloy configuration [41][42][43] .…”
Section: Introductionmentioning
confidence: 99%