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March 31, 2026Nature Communications4 citationsOpen Access

Direct visualization of the existence of surface local chemical order in a high-entropy CoCrFeMnNi alloy

LKLauren J. KimPSPrince SharmaCTChe-Wei Tsai

Key Points

  • The aim is to investigate the existence and impact of local chemical order (LCO) on the surface properties of high-entropy alloys.
  • Utilized scanning tunneling microscopy (STM) to visualize surface local chemical order (LCO) domains.
  • Conducted density functional theory (DFT) calculations to analyze LCO within quasi-long-range order supercells.
  • Identified two specific LCO domains on the CoCrFeMnNi surface.
  • Observed two surface LCO domains via STM with corresponding quasi-long-range order.
  • Confirmed the existence of surface LCO in high-entropy alloys, impacting their surface properties.
  • Provided a direct observational method for analyzing LCO in high-entropy alloys.

Abstract

The impacts of local chemical order (LCO) on the physical properties of high-entropy alloys (HEAs) have been widely discussed. However, the difficulty in unambiguously observing LCO with high precision poses a great challenge in establishing microscopic mechanisms regarding the impacts of LCO on physical properties. Furthermore, it is still unclear whether the LCO extends to HEA surfaces, which may impact surface-based properties, such as corrosion, oxidation, and catalytic activities. Through the utilization of scanning tunneling microscopy (STM), two surface LCO domains with corresponding 5×5R±26.6∘ quasi-long-range orderings (QLRO) are directly observed on a CoCrFeMnNi surface. Density functional theory (DFT) calculations identify the LCO within QLRO supercells. The findings provide evidence of the existence of the surface LCO and demonstrate a method to directly observe the surface LCO of HEAs. With the ability to unambiguously resolve elemental configuration at atomic scale, the understanding of how LCO influences surface-based properties can be achieved, facilitating the design of HEAs with tailored functionalities.

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Cite This Study

Kim et al. (2026) studied this question.

synapsesocial.com/papers/69cb645fe6a8c024954b89b2https://doi.org/10.1038/s41467-026-71170-z
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