Open Access Article
This Open Access Article is licensed under a
Creative Commons Attribution 3.0 Unported Licence

Controlling metastability through annealing of high-entropy nanoalloy electrocatalysts to boost performance towards the oxygen evolution reaction

Varatharaja Nallathambi*ab, Aneeta Jose Puthusserycd, Andrea M. Mingersb, Robert Stuckerta, André Olean-Oliveiracd, Sven Reichenbergera, Dierk Raabeb, Viktor Čolićcd, Baptiste Gault*be and Stephan Barcikowskia
aTechnical Chemistry I and Center for Nanointegration Duisburg-Essen (CENIDE), University of Duisburg-Essen, Universitaetsstr. 7, 45141 Essen, Germany
bMax Planck Institute for Sustainable Materials, Max-Planck-Str. 1, 40237 Düsseldorf, Germany. E-mail: v.nallathambi@mpi-susmat.de
cMax Planck Institute for Chemical Energy Conversion, Stiftstr. 34-36, 45470 Mülheim an der Ruhr, Germany
dCENIDE—Center for Nanointegration Duisburg-Essen, Carl-Benz-Str. 199, 47057 Duisburg, Germany
eUniv Rouen Normandie, CNRS, INSA Rouen Normandie, Groupe de Physique des Matériaux, UMR 6634, F-76000 Rouen, France. E-mail: baptiste.gault1@univ-rouen.fr

Received 26th March 2026 , Accepted 3rd June 2026

First published on 10th June 2026


Abstract

Low-cost transition metal high-entropy nanoalloys are emerging as sustainable alternatives to platinum group electrocatalysts. Synthesis conditions of single-phase solid solutions can alter phase stability, causing surface composition changes that affect electrocatalytic performance. Here, we propose to exploit the metastability of carbon-doped Cantor alloy-based amorphous high-entropy alloy nanoparticles produced by nanosecond-pulsed laser synthesis in organic solvents. In situ electron microscopy reveals crystallization and partitioning of elements upon heating to 600 °C, forming heterostructured nanoparticles with reinforced carbon shells that exhibit a 5- to 7-fold enhancement of the electrocatalytic activity compared to the as-synthesized counterparts for the oxygen evolution reaction. Discernible differences in elemental dissolution profiles under reaction conditions indicate the changes in the surface atom arrangements that influence the electrocatalytic behavior. We demonstrate the strategic utilization of phase metastability in high-entropy nanoalloys through post-synthesis annealing to enhance the electrochemical activity of laser-generated nanoparticles.


Introduction

Achieving the sustainable development goals set for the coming decades requires innovative, experimental and strategic approaches to address critical needs in energy generation and storage.1,2 A promising strategy involves substituting expensive platinum group electrocatalysts with abundant, sustainable transition metal-based systems to facilitate the upscaling of hydrogen generation.3–5 Multicomponent systems known as high-entropy alloys (HEAs) or compositionally complex alloys (CCAs) that are transition metal-based were recently shown to exhibit electrocatalytic performance comparable to Pt,6–10 triggering considerable interest.11

Large-scale, reliable synthesis of engineered HEA nanoparticles (NPs) was also demonstrated,12–18 particularly using laser synthesis and processing of colloids (LSPC) that involves laser ablation, fragmentation, and melting to fabricate functional NPs.19–25 The extreme conditions during LSPC provide opportunities for design optimization,26–32 for crystalline and amorphous HEA NPs, attractive for catalytic applications.7,17,33–40 We recently showcased control over the morphology, structure, and surface composition of HEA NPs through solvent selection during LSPC41 of a Cantor alloy-based (CrMnFeCoNiCx) HEA system synthesised in three solvents: acetonitrile, acetone, and ethanol. The laser-induced decomposition of solvent molecules resulted in the doping of carbon (up to 20 at%) into the HEA NPs. The supersaturation of carbon derived from solvent decomposition led to competitive dynamics between carbon shell formation and metallic coalescence and differences in NP characteristics.41 The degree of carbon supersaturation in the ablation plume is governed by the C/(C+O) ratio of the solvent (acetonitrile: 1, acetone: 0.75, ethanol: 0.67), which critically mediates the competing processes of carbon shell formation and metallic constituent coalescence during nanoparticle condensation. Consequently, the degree of amorphization decreases systematically with decreasing solvent C/(C+O) ratio. Further mechanistic determinants of laser-based HEA NP fabrication in liquids have been reviewed recently.42 The Cantor alloy is inherently metastable43–48 and hence prone to phase separation and elemental partitioning.49,50 In addition, the amorphous structure of the laser-generated HEA NPs resulting from carbon supersaturation is susceptible to crystallization at higher temperatures.41

Here, we strategically leverage the metastability to promote heat-induced, controlled phase separation in the HEA system, thereby generating heterostructured NPs with promising microstructures for electrocatalytic applications. Using in situ heating scanning transmission electron microscopy (STEM) coupled with energy dispersive X-ray spectroscopy (EDS) and X-ray photoelectron spectroscopy (XPS), we elucidate the temperature-dependent morphological changes, amorphous-to-crystalline transition, along with elemental partitioning within the core of the NPs and sub-surface layers beneath the carbon shell. The term 'high-entropy alloys' may not be entirely appropriate for describing phase-separated NPs, however, we use it to remain consistent with the literature. The oxygen evolution reaction (OER) activity performed at 1.65 V vs. the reversible hydrogen electrode (RHE) shows an increased catalytic activity up to 7-fold upon annealing, compared to the as-synthesized samples, which can be attributed to the interface-rich crystalline heterostructured NPs.11,51,52 Scanning flow cell measurements coupled with online inductively coupled plasma–mass spectrometry (SFC–ICP–MS)53–55 elucidate distinct dissolution behavior of the annealed samples that accounts for their enhanced catalytic activity. Our study demonstrates how manipulating phase metastability in high entropy nanoalloys can enhance catalytic performance. The annealing procedure presented here can be extrapolated to other synthesis methods involving complex multicomponent material systems, providing a new degree of freedom for engineering multifunctional high-entropy nanomaterials tailored for specific applications.

Materials and methods

Target preparation. The equimolar CrMnFeCoNi high-entropy alloy (HEA) target was fabricated through vacuum induction melting and casting of pure metallic elements. The as-cast alloy target was then subjected to a hot and cold rolling procedure to attain the desired thickness. The target was then homogenized at 1200 °C for 3 hours under an argon atmosphere before water quenching. A final annealing treatment was carried out at 900 °C for 1 hour in an argon atmosphere, followed by water quenching.
Pulsed-laser ablation in liquids. Nanoparticle synthesis was achieved through pulsed-laser ablation utilizing an EdgeWave GmbH nanosecond laser system operating at 1064 nm wavelength with 8 ns pulse duration, 5 kHz repetition frequency, and 35 mJ pulse energy. The polished bulk target was placed within a flow chamber through which nitrogen-purged organic solvents (acetonitrile, acetone, or ethanol) circulated continuously at a flow rate of approximately 50 mL min−1.
Annealing heat treatment. Post-synthesis heat treatment of the nanoparticles in powder form was performed using a heating furnace (Carbolite Gero Ltd, England). The thermal treatment protocol consisted of two stages: initial pre-conditioning at 400 °C for 1 hour (heating rate: 5 °C min−1), followed by heating to 600 °C for 10 minutes (heating rate: 1 °C min−1) in a 10% H2 in Ar atmosphere. An identical thermal treatment procedure was applied to glassy carbon electrodes with dropcast colloidal nanoparticles prior to electrochemical testing.
Materials characterization. Powder X-ray diffraction (XRD) measurements of nanoparticles pre- and post-annealing was conducted using a Rigaku Smartlab 9 kW diffractometer equipped with Cu Kα radiation (λ = 0.15406 nm). The diffraction patterns were collected over a 2θ range of 20° to 120° using a step increment of 0.01° and a scanning rate of 1° min−1. The measurements were performed under operating conditions of 45 kV accelerating voltage and 200 mA tube current.

Morphology and compositional characterization of the nanoparticles were carried out using a probe-corrected Thermo Fisher Titan Themis 300 scanning transmission electron microscope (STEM) equipped with energy dispersive X-ray spectroscopy (EDS) capabilities. The instrument was operated in STEM mode at 300 kV acceleration voltage, 100 mm camera length, and 23.8 mrad beam convergence angle. Imaging was conducted using bright field, annular dark field and high-angle annular dark field (HAADF) detectors. Image acquisition and EDS data collection were performed using Thermo Fisher Scientific's Velox 3.6.0 software. Elemental mapping and quantitative analysis focused on the Kα emission lines of Cr, Mn, Fe, Co, and Ni. Quantitative EDS analysis employed the standard Cliff-Lorimer (K-factor) method with absorption corrections. Each EDS map represented an accumulation of a minimum of 100 frames at 1024 × 1024 pixel resolution, with a minimum pixel dwell time of 10 µs to achieve adequate spectral intensity for reliable analysis. A kernel-based redistribution function (pre-filtering) within the Velox software was used to improve the quality of the EDS data before quantification.

X-ray photoelectron spectroscopy (XPS) analysis was conducted to determine the relative surface elemental composition of the nanoparticles using a Ulvac-Phi VersaProbe II system. The instrument used Al-Kα radiation at 1486.6 eV with a 100 µm spot size and 0.5 eV energy resolution. Data acquisition employed a hemispherical analyzer positioned at 45° to the sample surface, dual-beam charge neutralization, and a pass energy of 23 eV. Sample preparation involved drop-casting the nanoparticles onto glassy carbon substrates to enable characterization under various conditions: as-synthesized, annealed, and after electrochemical testing. Spectral analysis and peak deconvolution were performed using CasaXPS software with Shirley background56 applied to individual peak fits. Energy calibration of high-resolution XPS spectra was referenced to the adventitious carbon peak at 284.8 eV, determined through C 1s spectrum deconvolution for each sample.57 Peak fitting employed symmetric Gauss-Lorentzian line shapes, with detailed fitting constraints for the 3p spectra of all elements and corresponding peak fits provided in the supplementary information. Surface composition quantification was based on peak areas derived from the deconvoluted 3p signals.

In situ heating studies. In situ heating experiments were conducted using a probe-corrected Thermo Fisher Titan Themis 300 transmission electron microscope operating at 300 kV. The experiments employed a specialized in situ chip holder featuring amorphous SiNx windows (Nano-Chips Wildfire Double Tilt – DENSsolutions), onto which the colloidal nanoparticles were deposited via drop-casting and subsequently air-dried. Plasma cleaning of the sample holder with the chip in place was carried out before analysis. The heating protocol involved a stepwise temperature increase to 600 °C, with 100 °C increments starting from 300 °C at a heating rate of 1 °C s−1 and a hold time of 10 minutes to ensure thermal equilibrium. Imaging and EDS acquisition were carried out after cooling down the stage to room temperature (RT) after each temperature step.
Electrochemical testing. Electrochemical characterization was performed using a three-electrode glass cell configuration with a VSP-3e potentiostat (BioLogic, France). The electrode setup consisted of a custom-fabricated reversible hydrogen electrode (RHE, reference), a Pt wire counter electrode (Mateck, 99.99% purity), and a rotating disk electrode featuring a glassy carbon disk with 0.196 cm2 surface area (Pine Research; AFMSRCE, USA) as the working electrode. The electrolyte solution was prepared by dissolving potassium hydroxide pellets (Sigma-Aldrich Germany, 85% purity) in ultrapure water (Merck Millipore, Milli-Q IQ 7003, 18.2 MΩ) to achieve a 0.1 M KOH concentration. Sample preparation involved drop-casting HEA nanoparticle colloids onto the glassy carbon electrode surface, followed by drying under a nitrogen atmosphere. The volumes of colloidal solutions drop-cast onto the glassy carbon electrode surfaces were calculated based on colloidal concentration to ensure uniform loading of 10 µg cm−2 across all samples. Prior to drop-casting, the glassy carbon electrode underwent sequential polishing with 1 µm, 0.3 µm, and 0.05 µm alumina particles on microcloth, followed by 5-minute sonication in ultrapure water. Charge transfer resistance measurements were obtained through electrochemical impedance spectroscopy (EIS) performed at 1.6 V vs. RHE, scanning from 30 kHz to 1 Hz with 10 mV amplitude and 6 step dec−1. Electrode cleanliness was verified through cyclic voltammetry of the bare glassy carbon electrode. Sample conditioning involved 50 cyclic voltammetry cycles at 50 mV s−1 between 0.4 V and 1.6 V until stable responses were achieved. Following a 30-minute argon purging of the electrolyte and with electrode rotation at 1600 rpm, linear sweep voltammetry measurements representing oxygen evolution reaction (OER) were conducted from 1.3 V to 1.7 V at a scan rate of 10 mV s−1. iR drop compensation was performed by a combination of real-time measurement as well as during the data analysis. 85% of the uncompensated resistance was corrected via the Z-impedance-resistance (ZIR) technique and the remaining 15% was compensated during data processing.
Scanning flow cell measurements. Elemental dissolution studies using electrochemical measurements were conducted in a micro-electrochemical scanning flow cell (SFC)53,54 fabricated from polycarbonate (Makrolon) and using a Gamry Reference 600 potentiostat. The cell configuration featured a Pt-wire as counter electrode (0.5 mm diameter, 99.997% purity, Alfa Aesar) positioned in the inlet channel and an Ag/AgCl/3 M KCl reference electrode located in the outlet channel, with both channels having a diameter of 1.9 mm. The electrolyte solution of 0.01 M H2SO4 was prepared from suprapure H2SO4 (96%, Merck) and ultrapure water (PureLab Flex2, Elga, 18 MΩ cm−1, TOC < 3 ppb). Electrolyte circulation was maintained at approximately 380 µL min−1 through the cell before direct introduction into an inductively coupled plasma mass spectrometer (ICP-MS, NexION 300X, PerkinElmer) for real-time quantification of dissolved metal ions.

A calculated volume of colloidal nanoparticle solutions to maintain a loading of 1 µg was dropcast onto a polished glassy carbon plate serving as the working electrode. To prevent any detachment of the catalyst during measurements, 1 µL of Nafion/isopropanol solution (20 mL/1000 mL was dropcast on top of them. The working electrode was then positioned to be enclosed by the SFC opening.

A four-point calibration of the ICP-MS was performed every day prior to the measurements to convert detected intensities to dissolved ion concentrations (52Cr, 55Mn, 56Fe, 59Co, 60Ni). An internal standard (74Ge at 50 µg L−1 in 0.01 M H2SO4) was used to correct for changes in analyte intensities due to physical interferences, which was introduced via a Y-connector behind the SFC. Time scale synchronization was carried out for the approximately 45-second delay (ranging from 43 to 52 seconds) between ion dissolution at the working electrode and ICP-MS detection. The electrochemical protocol initiated with potentiostatic conditioning at 1 V vs. reversible hydrogen electrode (RHE) to establish electrode contact under potential control. Following subsidence of the initial contact dissolution peak, ten consecutive potential ramps from 1 V to 1.8 V vs. RHE were executed at a 10 mV s−1 scan rate.

Results and discussion

Annealing-induced structural and compositional modifications

In situ STEM heating of HEA NPs synthesized in acetone allows for following the microstructural evolution during annealing (see Methods). The amorphous as-synthesized NPs, Fig. 1a, have a rugged morphology, prominent carbon shells, and a near-uniform distribution of constituent elements in the NPs. At 400 °C, crystallization has initiated,35,41 yellow arrows in Fig. 1b, and subtle changes in STEM-EDS elemental mapping indicate the onset of elemental partitioning. Upon heating to 600 °C, the amorphous-to-crystalline transformation is completed, accompanied by particle volume shrinkage and contrast variations arising from differently oriented lattice planes in Fig. 1c. This is supported by powder X-ray diffraction (Fig. S1). Elemental partitioning proceeds as individual Cr- and Ni-rich crystallites nucleate and grow, forming an interface-rich heterostructured microstructure, Fig. 1c and Fig. S2, that is interesting for electrocatalytic applications.11,51,52 Ni-rich domains form preferably within the NP core, while Cr-rich domains appear both in the core and the subsurface layers. Co predominantly partitions with Ni, whereas Fe showed preferential accumulation in the core with sparse surface distribution. Mn shows a slight enrichment in Cr-rich regions, but predominantly migrates toward the surface and into the carbon shell, indicating the permeable nature of the carbon shell. Crystallization leads to C rejection from the NPs’ core toward the shell (Fig. 1c).41 Comparable observations were obtained across multiple sets of HEA NPs, Fig. S3 and S4, as well as for NPs synthesized in acetonitrile (Fig. 1d and Fig. S5–S8).
image file: d6cp01112h-f1.tif
Fig. 1 In situ STEM heating results of HEA NPs synthesized in acetone. (a)–(c) STEM dark field image and corresponding EDS mappings of the constituent elements at room temperature (RT), annealed at 400 °C and 600 °C, respectively; (d) examplary STEM dark field image and the corresponsing EDS overlay image of Cr, Fe and Ni combined highlighting the heterostructured microstructure following annealing at 600 °C of a HEA NP in acetonitrile; (e)–(g) XPS relative surface composition analyses pre- and post-annealing heat treatment of the HEA NPs synthesized in acetonitrile, acetone and ethanol, respectively.

Annealing-induced surface compositional changes from XPS are plotted in Fig. 1e–g. The as-synthesized NPs exhibit Mn surface enrichment (∼38 at%, 40 at%, and 35 at% for acetonitrile, acetone, and ethanol, respectively), while Cr distribution remained close to stoichiometric values. Fe, Co, and Ni were present below their expected stoichiometric ratios, consistent with our previous findings.41 Following annealing at 600 °C, Mn and Cr are more highly concentrated on NP surfaces, which can be attributed to their preferential partitioning (Fig. 1c). The detection of adventitious carbon57,58 during XPS measurements complicates carbon quantification. While sputter cleaning or plasma treatment may reduce this interference, such approaches carry the inherent risk of inducing structural changes to the NP surface.

Electrocatalytic performance evaluation pre- and post-annealing

Fig. 2a plots the cyclic voltammetry curves for HEA-NPs synthesized in three different solvents pre- and post-annealing. Fig. 2b shows the linear sweep voltammetry curves for the OER at 1.65 V vs. RHE, the currents normalized with geometrical area (jgeo) obtained for the annealed samples synthesized in acetonitrile, acetone and ethanol were 21.15 mA cm−2, 47.32 mA cm−2 and 70.83 mA cm−2, respectively, Fig. 2c, which are approximately 5–7 times better performing when compared with the as-synthesized samples. Correspondingly, the overpotential values at 10 mA cm−2 were substantially reduced for annealed samples: 388 mV, 373 mV, and 358 mV compared to 470 mV, 446 mV, and 419 mV for as-synthesized samples, Fig. 2d. To further investigate the underlying electrochemical behavior differences, the electrochemically active surface area (ECSA) was determined via double-layer capacitance measurements at different scan rates. ECSA values increased by factors of 2.0, 2.3, and 1.5 for annealed samples as revealed by Fig. 2e. The OER linear sweep voltammetry curves were also normalized by the ECSA determined from the double-layer capacitance, aligning with the trend obtained from the geometric-area normalization, suggesting that the observed activity correlates with intrinsic catalytic activity (Fig. S9). This suggests that the improved activity after annealing primarily originates from an increased number and/or accessibility of electrochemically active sites.
image file: d6cp01112h-f2.tif
Fig. 2 Electrochemical characterization of the as-synthesized and annealed HEA NPs. (a) and (b) Cyclic voltammetry and linear sweep voltametry curves (current density normalized with geometrical area) of the as-synthesized and annealed (denoted as HT) HEA NPs synthesized in acetonitrile, acetone and ethanol, respectively; (c)–(e) comparisons of current density measured @ 1.65 V vs. RHE, overpotential measured @ 10 mA cm−2 and calculated ECSA of the as-synthesized and annealed HEA NPs synthesized in acetonitrile, acetone and ethanol, respectively; (f) exemplary Nyquist plots for the as-synthesized and annealed HEA NPs in acetone with the equivalent circuit for the spectrum given in the inset; (g) charge transfer resistance values measured at 1.6 V vs. RHE for as-synthesized and annealed HEA NPs in acetonitrile, acetone and ethanol, respectively.

Fig. 2f evidences a noticeable decrease that was observed for the solution resistance (Rs) values obtained from electrochemical impedance spectroscopy (EIS) using an equivalent electric circuit model (EEC, see Supplementary Information) for all annealed samples, which can be attributed to the improved electrical contact and the adhesion between the substrate and the catalyst layer.59–64 The charge transfer resistance (Rct) revealed a significant decrease after annealing, implying enhanced electron transfer kinetics at the electrode–electrolyte interface. Specifically, the Rct values of the annealed samples in Fig. 2g were reduced by 21%, 69%, and 82% compared to their as-synthesized counterparts (Fig. S10 and S11). The Nyquist plots of the as-synthesized samples exhibited two distinct semicircles, which can arise from both the catalyst-electrolyte as well as the catalyst–substrate interface.61,65 In contrast, the annealed samples exhibited a smaller semicircle, pointing out a simplified charge transfer process. This change can be from the improved crystallinity, thickened carbon shells, and annealing-induced reduction of interfacial defects, thereby increasing the conductivity.61 One possible explanation for the overall electrocatalytic performance improvement of the annealed samples is the microstructural and compositional evolution induced by annealing, including crystallization and heterostructure formation, which collectively contribute to an increase in the electrochemically accessible surface sites.

Microstrcuture-dependent element dissolution behavior

The element-specific metal ion dissolution profiles obtained from SFC-ICP-MS measurements53–55 are presented in Fig. 3a and b for as-synthesized and annealed HEA NPs in acetone. Differences in electrode contact area where the NP electrocatalysts are drop-cast with the SFC opening preclude direct comparison of dissolution concentrations across samples; however, trends can be meaningfully compared. Prominent contact dissolution peaks are observed when the electrode contacts the electrolyte under an applied potential of 1 V vs. the reversible hydrogen electrode (RHE).41,50 For as-synthesized samples, the highest dissolution concentration corresponds to Mn (42.9%), followed by Co and Ni (24% each), while Fe and Cr account for 5.1% and 4.0%, respectively. Despite the increased subsurface Cr concentration detected by XPS (Fig. 1e–g), Cr dissolution is minimized by the protective carbon shells.
image file: d6cp01112h-f3.tif
Fig. 3 Element-specific dissolution and compositional characterization of electrochemically tested annealed HEA NPs. (a) and (b) Applied potential and the corresponding online ICP-MS dissolution profiles of dissolved metal ions as a function of time of the as-synthesized and annealed NPs in acetone, respectively; (c)–(e) XPS relative surface composition analyses before and after OER cycling of annealed HEA NPs synthesized in acetonitrile, acetone and ethanol, respectively; (f) and (g) STEM-EDS mapping of annealed HEA NPs synthesized in acetone after OER cycling and the corresponding one-dimensional composition profile, respectively.

Post-annealing, the Mn dissolution concentration increases two-fold to 86.4%, while significant reductions are observed for all other elements: Co (6.9%), Fe (3.5%), Ni (2.5%), and Cr (0.8%). The increased Mn dissolution in annealed samples can be attributed to preferential Mn partitioning toward surface layers, as observed in STEM-EDS analysis (Fig. 1 and Fig. S3–S8), while heterostructure formation of Ni–Co–Fe-rich regions and reinforced carbon shells drastically reduces the dissolution of other elements compared to the as-synthesized state.

The dissolution behavior changes during potential sweeps from 1 V to 1.8 V vs. RHE, representing OER conditions. Cr dissolution begins with the onset of potential sweeping, followed by other elements, exhibiting an alternating pattern as a function of applied voltage, indicating periodic transitions between activated and deactivated states of the electrocatalyst surface. Near-constant dissolution of Fe, Co, and Ni occurs during potential sweeps for as-synthesized samples (Fig. 3a), while annealed samples exhibit a regulated alternating pattern similar to Cr and Mn (Fig. 3b). This represents a controlled dissolution of Fe, Co, and Ni under applied potential during OER, stemming from heterostructures formed and surrounded by Mn- and Cr-rich surface/subsurface layers beneath the carbon shell. The formation of Fe–Ni-rich oxyhydroxide surface layers following contact dissolution through a transient dissolution process during OER cycling has been reported previously.50,66 In the case of as-synthesized material, after the initial dissolution of Cr and Mn from the surface, Fe, Co, and Ni from the subsurface region become exposed and subsequently form catalytically active oxyhydroxide phases. As the reaction progresses, these Fe–Co–Ni-rich surface layers may undergo exfoliation,50 after which Cr and Mn migrate toward the surface to replenish the dissolved species, allowing the cycle to repeat during continued operation.

In the annealed samples containing defined heterostructures and reinforced carbon shells, this transient dissolution and regeneration process occurs in a more controlled and spatially confined manner. The presence of pre-formed Fe–Co–Ni-rich heterostructures on the surface in a HEA matrix ensures the ready availability of multifunctional active sites, resulting in significantly enhanced catalytic activity.11 The dissolution concentrations of Co and Ni in annealed samples are similar to those of Cr (Fig. 3b), whereas they are considerably higher in as-synthesized counterparts (Fig. 3a). This indicates the formation of more stable and accessible Ni–Co–Fe-rich active sites under applied potential in the heterostructured annealed samples. Analogous dissolution behaviors are observed in annealed NPs synthesized in acetonitrile and ethanol (Fig. S12 and S13).

Following OER cycling, XPS evidences a drop in the Mn and Cr surface concentration, Fig. 3c–e, while the distribution of Fe, Co, and Ni increases, approaching near-equimolar ratios. Notably, surface Cr concentration was reduced by half following OER testing compared to the annealed state, which relates to the higher Cr dissolution observed during the beginning of potential sweeps in SFC-ICP-MS (Fig. 3b). The relative surface concentrations of Fe, Co, and Ni became comparable across all three samples after OER cycling, indicating a steady-state surface elemental distribution under reaction conditions accompanied by the transient dissolution process. It should be noted that the microstructural and compositional transformations observed during in situ heating TEM experiments may not fully represent ex situ annealing in a furnace. To bridge this gap, STEM analysis was conducted on annealed HEA NPs following electrochemical testing. STEM-EDS mapping presented in Fig. 3f reveals the elemental distribution in annealed samples after OER testing, showing a surface layer within the carbon shell enriched in Cr and Mn that encapsulates a heterostructured core containing Fe, Co, and Ni. Cr-rich regions are also observed near the core, adjacent to Ni-rich domains. Fig. 3g presents the one-dimensional compositional profile across the NP. These observations substantiate the trends observed in the dissolution profiles of the annealed sample (Fig. 3b). Fig. S14 shows additional STEM-EDS mapping of a large nanoparticle (∼320 nm in diameter), further confirming the retention of the heterostructured microstructure after OER testing.

The electrocatalytic OER performance of the studied catalysts is benchmarked against comparable values reported in the literature in Fig. 4. As discussed previously, the reduced overpotential observed in this work may originate from both the intrinsic material properties and the physicochemical changes induced by controlled annealing. Upon annealing, elemental segregation of Mn and Cr toward the nanoparticles’ surface was observed, along with the formation of a Ni–Co–Fe-rich region, which has been reported as catalytically-active for the OER.76 Taken together with the XPS results, the dissolution studies reveal that the annealed samples exhibit a confined and controlled dissolution behavior, with the dissolution profiles of Ni and Co following a pattern similar to that of Cr, indicative of enhanced stability relative to the as-synthesized samples.


image file: d6cp01112h-f4.tif
Fig. 4 Electrocatalytic OER performance of the studied catalysts benchmarked against comparable values reported in the literature.67–75 The experiments were conducted in 0.1 M and 1 M KOH with overpotentials measured at 10 mA cm−2.

Electrochemical characterization further demonstrates that these annealed samples possess lower charge-transfer resistance, reflecting improved electron transfer kinetics at the electrode–electrolyte interface. The overpotentials reported in this work therefore arise from a combination of surface segregation, annealing-induced structural and compositional changes, and enhanced interfacial charge transfer. These values are consistent with the range of overpotentials reported in the literature for catalysts evaluated in 0.1 M KOH. It has to be noted that the majority of state-of-the-art OER catalysts have been assessed in 1 M KOH. The present results obtained in 0.1 M KOH are provided alongside available literature data for the high-entropy alloy electrocatalysts, particularly the heat-treated samples, to facilitate a transparent and fair comparison.

The ability to systematically tailor nanoparticle characteristics through solvent selection during laser synthesis opens new avenues for establishing structure-composition-activity relationships in HEA electrocatalysts. Future studies are warranted to investigate the influence of the distinct pyrolysis behavior of different solvent molecules during laser ablation synthesis, as variations in gas formation rates and decomposition byproducts77–80 are expected to govern surface structure and composition of the produced nanoparticles32,81,82 and, by extension, surface atomic arrangements. Incorporating knowledge of the phase metastability of the HEA composition of interest into this framework could further enable the prediction of electrocatalytic performance for HEA catalysts synthesized in other organic solvents.

The breadth of the accessible composition space and the wide range of elemental combinations available for designing HEA compositions targeted at specific catalytic reactions present a considerable challenge. Furthermore, experimental evidence from the literature reveals a complex relationship between electrochemical response and the HEA surface landscape, which frequently complicates direct comparisons across studies. The intrinsic catalytic activity of such compositionally complex solid solutions measured under kinetic conditions represents an upper bound on performance that may not be reproducible under real-world operating conditions.83 A rigorous fundamental understanding of phase stability, compositional evolution, morphological changes, elemental dissolution, and material degradation under reaction conditions is therefore essential for establishing a robust framework that supports the broader application of this class of HEA electrocatalysts.

Conclusion

In summary, we leveraged the thermodynamic metastability of high-entropy alloy NPs from pulsed-laser synthesis in three different organic solvents to enhance their electrocatalytic performance through post-synthesis annealing. Annealing triggers multiple microstructural modifications: (i) metastable carbon-containing amorphous NPs crystallize through the formation of fine crystallites within individual particles, accompanied by volume shrinkage; (ii) carbon supersaturation is reduced by ejection of carbon into the surrounding shell; (iii) elemental partitioning leads to NPs featuring Cr–Fe-rich and Ni–Co–Fe-rich heterostructured regions; (iv) Mn partitions to the NPs’ subsurface and shell. These heterostructured annealed NPs exhibit significantly enhanced electrochemical performance. Given their comparable surface compositional distributions following electrochemical testing, the performance enhancement can be primarily attributed to the formation of numerous interfaces within Cr–Fe-rich and Ni–Co–Fe-rich crystalline heterostructured microstructures and the controlled elemental dissolution under reaction conditions in a carbon shell-protected, subsurface-enriched environment, achieving a maximum activity enhancement of 7-fold. We demonstrated microstructural engineering in multicomponent nanoalloys by exploiting their inherent metastable nature, showcasing their potential for optimized electrocatalytic performance.

Author contributions

Varatharaja Nallathambi: conceptualization, methodology, data curation, formal analysis, validation, investigation, writing – original draft, writing – review & editing, visualization, project administration. Aneeta Jose Puthussery: methodology, validation, investigation, data curation, formal analysis, visualization, writing – original draft, writing – review & editing. Andrea M. Mingers: data curation, validation, investigation, visualization, writing – review & editing, formal analysis. Robert Stuckert: data curation, validation, writing – review & editing, investigation. André Olean-Oliveira: methodology, validation, writing – original draft, writing – review & editing. Sven Reichenberger: writing – review & editing, resources, supervision, project administration, conceptualization. Dierk Raabe: writing – review & editing, project administration, resources, supervision, conceptualization. Viktor Čolić: writing – review & editing, project administration, resources, supervision, conceptualization. Baptiste Gault: conceptualization, writing – original draft, project administration, resources, supervision. Stephan Barcikowski: conceptualization, writing – review & editing, project administration, resources, supervision, funding acquisition.

Conflicts of interest

The authors declare no conflict of interest.

Data availability

The data that support the findings of this study are available from the corresponding authors upon reasonable request. All relevant experimental data generated and analyzed during this study are included in the manuscript and its supplementary information (SI) file. Supplementary information is available. See DOI: https://doi.org/10.1039/d6cp01112h.

Acknowledgements

S.B. acknowledges funding by the Deutsche Forschungsgemeinschaft (DFG) – Project 277627168. V.N. is grateful for the financial support from the International Max Planck Research School for Interface Controlled Materials for Energy Conversion (IMPRS-SurMat), now International Max Planck Research School for Sustainable Metallurgy (IMPRS-SusMet), and the Center for Nanointegration Duisburg-Essen (CENIDE). The authors are grateful to Philipp Watermeyer and Volker Kree for their support at the TEM facilities at the Max Planck Institute for Sustainable Materials. Further, the authors acknowledge Benjamin Breitbach (Max Planck Institute for Sustainable Materials) for performing the XRD measurements. V. N. is grateful to Peter Schweizer and Siyuan Zhang at the Max Planck Institute for Sustainable Materials for the helpful discussions on in situ STEM measurements. The authors thank the Interdisciplinary Center for Analytics on the Nanoscale (ICAN) at the University of Duisburg-Essen (UDE) for access to the XPS facility. V.N. and R.S. thank Ulrich Hagemann at the ICAN for the help with XPS measurements. V.N. greatly appreciates Aparna Saksena and Yongqiang Kang at the Max Planck Institute for Sustainable Materials for the helpful discussions regarding the scanning flow cell experiments. Open Access funding provided by the Max Planck Society.

References

  1. J. M. Allwood and D. Raabe, Sustainable metals: integrating science and systems approaches, Philos. Trans. R. Soc., A, 2024, 382, 20230247,  DOI:10.1098/rsta.2023.0247.
  2. D. Raabe, The Materials Science behind Sustainable Metals and Alloys, Chem. Rev., 2023, 123, 2436–2608,  DOI:10.1021/acs.chemrev.2c00799.
  3. G. Zhao, J. Chen, W. Sun and H. Pan, Non-Platinum Group Metal Electrocatalysts toward Efficient Hydrogen Oxidation Reaction, Adv. Funct. Mater., 2021, 31, 2010633,  DOI:10.1002/adfm.202010633.
  4. F. Luo, S. Wagner, W. Ju, M. Primbs, S. Li, H. Wang, U. I. Kramm and P. Strasser, Kinetic Diagnostics and Synthetic Design of Platinum Group Metal-Free Electrocatalysts for the Oxygen Reduction Reaction Using Reactivity Maps and Site Utilization Descriptors, J. Am. Chem. Soc., 2022, 144, 13487–13498,  DOI:10.1021/jacs.2c01594.
  5. M.-I. Jamesh, D. Hu, J. Wang, F. Naz, J. Feng, L. Yu, Z. Cai, J. C. Colmenares, D.-J. Lee, P. K. Chu and H.-Y. Hsu, Recent advances in noble metal-free electrocatalysts to achieve efficient alkaline water splitting, J. Mater. Chem. A, 2024, 12, 11771–11820,  10.1039/D3TA07418H.
  6. T. Löffler, A. Ludwig, J. Rossmeisl and W. Schuhmann, What Makes High-Entropy Alloys Exceptional Electrocatalysts?, Angew. Chem., Int. Ed., 2021, 60, 26894–26903,  DOI:10.1002/anie.202109212.
  7. T. Löffler, F. Waag, B. Gökce, A. Ludwig, S. Barcikowski and W. Schuhmann, Comparing the Activity of Complex Solid Solution Electrocatalysts Using Inflection Points of Voltammetric Activity Curves as Activity Descriptors, ACS Catal., 2021, 11, 1014–1023,  DOI:10.1021/acscatal.0c03313.
  8. L. Han, W. Mu, S. Wei, P. K. Liaw and D. Raabe, Sustainable high-entropy materials?, Sci. Adv., 2024, 10, eads3926,  DOI:10.1126/sciadv.ads3926.
  9. T. A. A. Batchelor, J. K. Pedersen, S. H. Winther, I. E. Castelli, K. W. Jacobsen and J. Rossmeisl, High-Entropy Alloys as a Discovery Platform for Electrocatalysis, Joule, 2019, 3, 834–845,  DOI:10.1016/j.joule.2018.12.015.
  10. S. Jeong, S. W. Bollen, P. Nagarajan and M. B. Ross, Capping agent optimization of high entropy alloy nanoparticles enhances electrocatalytic water splitting, Nanoscale Horiz., 2026, 11, 202–210,  10.1039/D5NH00631G.
  11. K. Zeng, R. Hu, J. Zhang, X. Li, Y. Xu, X. Mu, H. Wu, S. Liu, H. Liu, J. Chen, Z. Wang, J. Zhou, Z. Liang, W. Gao, D. Wu and Y. Yao, Finely tailoring the local ensembles in heterostructured high entropy alloy catalysts through pulsed annealing, Nat. Commun., 2025, 16, 3403,  DOI:10.1038/s41467-025-58495-x.
  12. H. Zheng, G. Luo, A. Zhang, X. Lu and L. He, The Synthesis and Catalytic Applications of Nanosized High-Entropy Alloys, ChemCatChem, 2021, 13, 806–817,  DOI:10.1002/cctc.202001163.
  13. Y. Yao, Q. Dong, A. Brozena, J. Luo, J. Miao, M. Chi, C. Wang, I. G. Kevrekidis, Z. J. Ren, J. Greeley, G. Wang, A. Anapolsky and L. Hu, High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery, Science, 2022, 376, eabn3103,  DOI:10.1126/science.abn3103.
  14. L. Yang, R. He, J. Chai, X. Qi, Q. Xue, X. Bi, J. Yu, Z. Sun, L. Xia, K. Wang, N. Kapuria, J. Li, A. Ostovari Moghaddam and A. Cabot, Synthesis Strategies for High Entropy Nanoparticles, Adv. Mater., 2025, 37, 2412337,  DOI:10.1002/adma.202412337.
  15. Y. Sun and S. Dai, Synthesis of high-entropy materials, Nat. Synth., 2024, 3, 1457–1470,  DOI:10.1038/s44160-024-00690-7.
  16. N. Kar and S. E. Skrabalak, Synthetic methods for high-entropy nanomaterials, Nat. Rev. Mater., 2025, 1–16,  DOI:10.1038/s41578-025-00829-8.
  17. B. Wang, C. Wang, X. Yu, Y. Cao, L. Gao, C. Wu, Y. Yao, Z. Lin and Z. Zou, General synthesis of high-entropy alloy and ceramic nanoparticles in nanoseconds, Nat. Synth., 2022, 1, 138–146,  DOI:10.1038/s44160-021-00004-1.
  18. S. Ganesan, D. Bhatt, D. Satheesh, T. Kokulnathan, P. Pant, D. S. Bharathi, L. Baskar, N. G. Sahoo, A. Palaniappan and K. Manavalan, High entropy alloys: a comprehensive review of synthesis, properties, and characterization for electrochemical energy conversion and storage applications, J. Mater. Chem. A, 2025, 13, 37663–37699,  10.1039/D5TA03746H.
  19. D. Zhang, B. Gökce and S. Barcikowski, Laser Synthesis and Processing of Colloids: Fundamentals and Applications, Chem. Rev., 2017, 117, 3990–4103,  DOI:10.1021/acs.chemrev.6b00468.
  20. S. Reichenberger, G. Marzun, M. Muhler and S. Barcikowski, Perspective of Surfactant-Free Colloidal Nanoparticles in Heterogeneous Catalysis, ChemCatChem, 2019, 11, 4489–4518,  DOI:10.1002/cctc.201900666.
  21. R. C. Forsythe, C. P. Cox, M. K. Wilsey and A. M. Müller, Pulsed Laser in Liquids Made Nanomaterials for Catalysis, Chem. Rev., 2021, 121, 7568–7637,  DOI:10.1021/acs.chemrev.0c01069.
  22. A. A. Manshina, I. I. Tumkin, E. M. Khairullina, M. Mizoshiri, A. Ostendorf, S. A. Kulinich, S. Makarov, A. A. Kuchmizhak and E. L. Gurevich, The Second Laser Revolution in Chemistry: Emerging Laser Technologies for Precise Fabrication of Multifunctional Nanomaterials and Nanostructures, Adv. Funct. Mater., 2024, 34, 2405457,  DOI:10.1002/adfm.202405457.
  23. F. Waag, R. Streubel, B. Gökce and S. Barcikowski, Synthesis of gold, platinum, and gold-platinum alloy nanoparticle colloids with high-power megahertz-repetition-rate lasers: the importance of the beam guidance method, Appl. Nanosci., 2021, 11, 1303–1312,  DOI:10.1007/s13204-021-01693-y.
  24. V. Amendola, D. Amans, Y. Ishikawa, N. Koshizaki, S. Scirè, G. Compagnini, S. Reichenberger and S. Barcikowski, Room-Temperature Laser Synthesis in Liquid of Oxide, Metal-Oxide Core-Shells, and Doped Oxide Nanoparticles, Chem. – Eur. J., 2020, 26, 9206–9242,  DOI:10.1002/chem.202000686.
  25. C. Zhang, Z. Wang, C. Liu, Y. Bai, C. Liang, J. Low and Y. Xiong, Rapid synthesis of subnanoscale high-entropy alloys with ultrahigh durability, Nat. Mater., 2025, 1–9,  DOI:10.1038/s41563-025-02358-9.
  26. C. Chen and L. V. Zhigilei, Atomistic modeling of pulsed laser ablation in liquid: spatially and time-resolved maps of transient nonequilibrium states and channels of nanoparticle formation, Appl. Phys. A: Mater. Sci. Process., 2023, 129, 288,  DOI:10.1007/s00339-023-06525-0.
  27. C.-Y. Shih, C. Chen, C. Rehbock, A. Tymoczko, U. Wiedwald, M. Kamp, U. Schuermann, L. Kienle, S. Barcikowski and L. V. Zhigilei, Limited Elemental Mixing in Nanoparticles Generated by Ultrashort Pulse Laser Ablation of AgCu Bilayer Thin Films in a Liquid Environment: Atomistic Modeling and Experiments, J. Phys. Chem. C, 2021, 125, 2132–2155,  DOI:10.1021/acs.jpcc.0c09970.
  28. C.-Y. Shih, M. V. Shugaev, C. Wu and L. V. Zhigilei, The effect of pulse duration on nanoparticle generation in pulsed laser ablation in liquids: insights from large-scale atomistic simulations, Phys. Chem. Chem. Phys., 2020, 22, 7077–7099,  10.1039/D0CP00608D.
  29. S.-X. Liang, L.-C. Zhang, S. Reichenberger and S. Barcikowski, Design and perspective of amorphous metal nanoparticles from laser synthesis and processing, Phys. Chem. Chem. Phys., 2021, 23, 11121–11154,  10.1039/D1CP00701G.
  30. V. Amendola, S. Scaramuzza, F. Carraro and E. Cattaruzza, Formation of alloy nanoparticles by laser ablation of Au/Fe multilayer films in liquid environment, J. Colloid Interface Sci., 2017, 489, 18–27,  DOI:10.1016/j.jcis.2016.10.023.
  31. A. Guadagnini, S. Agnoli, D. Badocco, P. Pastore, R. Pilot, R. Ravelle-Chapuis, M. B. F. van Raap and V. Amendola, Kinetically Stable Nonequilibrium Gold-Cobalt Alloy Nanoparticles with Magnetic and Plasmonic Properties Obtained by Laser Ablation in Liquid, Chem. Phys. Chem., 2021, 22, 657–664,  DOI:10.1002/cphc.202100021.
  32. A. Kanitz, J. S. Hoppius, M. del Mar Sanz, M. Maicas, A. Ostendorf and E. L. Gurevich, Synthesis of Magnetic Nanoparticles by Ultrashort Pulsed Laser Ablation of Iron in Different Liquids,  DOI:10.1002/cphc.201601252.
  33. F. Waag, Y. Li, A. Rosa Ziefuß, E. Bertin, M. Kamp, V. Duppel, G. Marzun, L. Kienle, S. Barcikowski and B. Gökce, Kinetically-controlled laser-synthesis of colloidal high-entropy alloy nanoparticles, ( 2019).  10.1039/C9RA03254A.
  34. R. Stuckert, F. Pohl, N. Shkodich, O. Prymak, N. Koch, U. Schürmann, M. Farle, L. Kienle, S. Barcikowski and C. Rehbock, Amorphization of Laser-fabricated Ignoble High-Entropy Alloy Nanoparticles and its Impact on Surface Composition and Electrochemistry, Faraday Discuss., 2026, 264, 151–177,  10.1039/D5FD00087D.
  35. R. Stuckert, F. Pohl, O. Prymak, U. Schürmann, C. Rehbock, L. Kienle and S. Barcikowski, Crystalline and amorphous structure selectivity of ignoble high-entropy alloy nanoparticles during laser ablation in organic liquids is set by pulse duration, Beilstein J. Nanotechnol., 2025, 16, 1141–1159,  DOI:10.3762/bjnano.16.84.
  36. J. Johny, Y. Li, M. Kamp, O. Prymak, S.-X. Liang, T. Krekeler, M. Ritter, L. Kienle, C. Rehbock, S. Barcikowski and S. Reichenberger, Laser-generated high entropy metallic glass nanoparticles as bifunctional electrocatalysts, Nano Res., 2022, 15, 4807–4819,  DOI:10.1007/s12274-021-3804-2.
  37. S. Tahir, N. Shkodich, B. Eggert, J. Lill, O. Gatsa, M. Flimelová, E. Adabifiroozjaei, N. M. Bulgakova, L. Molina-Luna, H. Wende, M. Farle, A. V. Bulgakov, C. Doñate-Buendía and B. Gökce, Synthesis of High Entropy Alloy Nanoparticles by Pulsed Laser Ablation in Liquids: Influence of Target Preparation on Stoichiometry and Productivity, ChemNanoMat, 2024, 10, e202400064,  DOI:10.1002/cnma.202400064.
  38. N. Shkodich, T. Smoliarova, V. Nallathambi, A. L. M. Feitosa, E. Adabifiroozjaei, I. Tarasov, M. Grzywa, B. Gault, S. Reichenberger, L. Molina-Luna, S. Barcikowski and M. Farle, Nanocrystalline CoMnFeNiGa high entropy alloys: Room temperature ferromagnetism bridging the gap from Bulk to Nano, Faraday Discuss., 2026, 264, 453–473,  10.1039/D5FD00080G.
  39. R. Rawat, N. P. Blanchard, Y. Shadangi, A. Tripathi and D. Amans, Laser Generation of AlCrCuFeNi High-Entropy Alloy Nanocolloids, J. Phys. Chem. C, 2024, 128, 19815–19828,  DOI:10.1021/acs.jpcc.4c04574.
  40. C. Guo, X. Hu, X. Han, Y. Gao, T. Zheng, D. Chen, X. Qiu, P. Wang, K. Xu, Y. Chen, R. Zhou, M. Zong, J. Wang, Z. Xia, J. Hao and K. Xie, Laser Precise Synthesis of Oxidation-Free High-Entropy Alloy Nanoparticle Libraries, J. Am. Chem. Soc., 2024, 146, 18407–18417,  DOI:10.1021/jacs.4c03658.
  41. V. Nallathambi, S.-H. Kim, A. M. Mingers, P. Ebbinghaus, B. Gault, S. Reichenberger, D. Raabe and S. Barcikowski, Kinetically Controlling Surface Atom Arrangements in Thermally Robust, Amorphous High-Entropy Alloy Nanoparticles by Solvent Selection, Adv. Sci., 2026, 13, e10537,  DOI:10.1002/advs.202510537.
  42. R. Stuckert, C. Rehbock and S. Barcikowski, Laser Synthesis of High-Entropy Alloy Nanoparticles in Liquids: Methods, Scalability, Applications, and Perspectives, Chem. Eur. J., 2026, 4, e202600005,  DOI:10.1002/ceur.202600005.
  43. F. Otto, A. Dlouhý, K. G. Pradeep, M. Kuběnová, D. Raabe, G. Eggeler and E. P. George, Decomposition of the single-phase high-entropy alloy CrMnFeCoNi after prolonged anneals at intermediate temperatures, Acta Mater., 2016, 112, 40–52,  DOI:10.1016/j.actamat.2016.04.005.
  44. L. Li, Z. Li, A. Kwiatkowski da Silva, Z. Peng, H. Zhao, B. Gault and D. Raabe, Segregation-driven grain boundary spinodal decomposition as a pathway for phase nucleation in a high-entropy alloy, Acta Mater., 2019, 178, 1–9,  DOI:10.1016/j.actamat.2019.07.052.
  45. D. Chatain and P. Wynblatt, Surface segregation in multicomponent high entropy alloys: Atomistic simulations versus a multilayer analytical model, Comput. Mater. Sci., 2021, 187, 110101,  DOI:10.1016/j.commatsci.2020.110101.
  46. A. Ferrari and F. Körmann, Surface segregation in Cr-Mn-Fe-Co-Ni high entropy alloys, Appl. Surf. Sci., 2020, 533, 147471,  DOI:10.1016/j.apsusc.2020.147471.
  47. Y. J. Li, A. Savan and A. Ludwig, Atomic scale understanding of phase stability and decomposition of a nanocrystalline CrMnFeCoNi Cantor alloy, Appl. Phys. Lett., 2021, 119, 201910,  DOI:10.1063/5.0069107.
  48. C. D. Woodgate, Atomic Short-Range Order and Phase Stability of the Cantor-Wu Medium- and High-Entropy Alloys, in Model. At. Arrange. Multicomponent Alloys Perturbative First-Princ.-Based Approach, ed. C. D. Woodgate, Springer Nature Switzerland, Cham, 2024, pp. 119–136 DOI:10.1007/978-3-031-62021-8_6.
  49. S. Krouna, A. Acheche, G. Wang, N. O. Pena, R. Gatti, C. Ricolleau, H. Amara, J. Nelayah and D. Alloyeau, Atomic-Scale Insights Into the Thermal Stability of High-Entropy Nanoalloys, Adv. Mater., 2025, 37, 2414510,  DOI:10.1002/adma.202414510.
  50. C. Luan, D. Escalera-López, U. Hagemann, A. Kostka, G. Laplanche, D. Wu, S. Cherevko and T. Li, Revealing Dynamic Surface and Subsurface Reconstruction of High-Entropy Alloy Electrocatalysts during the Oxygen Evolution Reaction at the Atomic Scale, ACS Catal., 2024, 14, 12704–12716,  DOI:10.1021/acscatal.4c02792.
  51. J. Diao, Y. Qiu, S. Liu, W. Wang, K. Chen, H. Li, W. Yuan, Y. Qu and X. Guo, Interfacial Engineering of W2N/WC Heterostructures Derived from Solid-State Synthesis: A Highly Efficient Trifunctional Electrocatalyst for ORR, OER, and HER, Adv. Mater., 2020, 32, 1905679,  DOI:10.1002/adma.201905679.
  52. P. Prabhu, V. Jose and J.-M. Lee, Heterostructured Catalysts for Electrocatalytic and Photocatalytic Carbon Dioxide Reduction, Adv. Funct. Mater., 2020, 30, 1910768,  DOI:10.1002/adfm.201910768.
  53. S. O. Klemm, A. A. Topalov, C. A. Laska and K. J. J. Mayrhofer, Coupling of a high throughput microelectrochemical cell with online multielemental trace analysis by ICP-MS, Electrochem. Commun., 2011, 13, 1533–1535,  DOI:10.1016/j.elecom.2011.10.017.
  54. A. K. Schuppert, A. A. Topalov, I. Katsounaros, S. O. Klemm and K. J. J. Mayrhofer, A Scanning Flow Cell System for Fully Automated Screening of Electrocatalyst Materials, J. Electrochem. Soc., 2012, 159, F670,  DOI:10.1149/2.009211jes.
  55. H. Zhao, Y. Yin, Y. Wu, S. Zhang, A. M. Mingers, D. Ponge, B. Gault, M. Rohwerder and D. Raabe, How solute atoms control aqueous corrosion of Al-alloys, Nat. Commun., 2024, 15, 561,  DOI:10.1038/s41467-024-44802-5.
  56. D. A. Shirley, High-Resolution X-Ray Photoemission Spectrum of the Valence Bands of Gold, Phys. Rev. B, 1972, 5, 4709–4714,  DOI:10.1103/PhysRevB.5.4709.
  57. M. C. Biesinger, Accessing the robustness of adventitious carbon for charge referencing (correction) purposes in XPS analysis: Insights from a multi-user facility data review, Appl. Surf. Sci., 2022, 597, 153681,  DOI:10.1016/j.apsusc.2022.153681.
  58. L. H. Grey, H.-Y. Nie and M. C. Biesinger, Defining the nature of adventitious carbon and improving its merit as a charge correction reference for XPS, Appl. Surf. Sci., 2024, 653, 159319,  DOI:10.1016/j.apsusc.2024.159319.
  59. N. O. Laschuk, E. Bradley Easton and O. V. Zenkina, Reducing the resistance for the use of electrochemical impedance spectroscopy analysis in materials chemistry, RSC Adv., 2021, 11, 27925–27936,  10.1039/D1RA03785D.
  60. A. R. C. Bredar, A. L. Chown, A. R. Burton and B. H. Farnum, Electrochemical Impedance Spectroscopy of Metal Oxide Electrodes for Energy Applications, ACS Appl. Energy Mater., 2020, 3, 66–98,  DOI:10.1021/acsaem.9b01965.
  61. W. Zheng, iR Compensation for Electrocatalysis Studies: Considerations and Recommendations, ACS Energy Lett., 2023, 8, 1952–1958,  DOI:10.1021/acsenergylett.3c00366.
  62. A. C. Lazanas and M. I. Prodromidis, Electrochemical Impedance Spectroscopy—A Tutorial, ACS Meas. Sci. Au, 2023, 3, 162–193,  DOI:10.1021/acsmeasuresciau.2c00070.
  63. S. Anantharaj and S. Noda, Appropriate Use of Electrochemical Impedance Spectroscopy in Water Splitting Electrocatalysis, ChemElectroChem, 2020, 7, 2297–2308,  DOI:10.1002/celc.202000515.
  64. S. Wang, J. Zhang, O. Gharbi, V. Vivier, M. Gao and M. E. Orazem, Electrochemical impedance spectroscopy, Nat. Rev. Methods Primer, 2021, 1, 41,  DOI:10.1038/s43586-021-00039-w.
  65. P. Chakthranont, J. Kibsgaard, A. Gallo, J. Park, M. Mitani, D. Sokaras, T. Kroll, R. Sinclair, M. B. Mogensen and T. F. Jaramillo, Effects of Gold Substrates on the Intrinsic and Extrinsic Activity of High-Loading Nickel-Based Oxyhydroxide Oxygen Evolution Catalysts, ACS Catal., 2017, 7, 5399–5409,  DOI:10.1021/acscatal.7b01070.
  66. P. Jain, P. Hosseini, A. Kostka, E. Budiyanto, P. Diehl, M. Muhler, H. Tuysuz, D. Wu and T. Li, Morphological, Structural and Compositional Evolution of PtPdFeCoNi High-Entropy Alloy Nanoparticles toward Bifunctional Oxygen Electrocatalysis, Faraday Discuss., 2026, 264, 207–230,  10.1039/D5FD00092K.
  67. X. Lu and C. Zhao, Electrodeposition of hierarchically structured three-dimensional nickel–iron electrodes for efficient oxygen evolution at high current densities, Nat. Commun., 2015, 6, 6616,  DOI:10.1038/ncomms7616.
  68. M. Gong, Y. Li, H. Wang, Y. Liang, J. Z. Wu, J. Zhou, J. Wang, T. Regier, F. Wei and H. Dai, An Advanced Ni–Fe Layered Double Hydroxide Electrocatalyst for Water Oxidation, J. Am. Chem. Soc., 2013, 135, 8452–8455,  DOI:10.1021/ja4027715.
  69. C. Tang, H.-S. Wang, H.-F. Wang, Q. Zhang, G.-L. Tian, J.-Q. Nie and F. Wei, Catalysis: Spatially Confined Hybridization of Nanometer-Sized NiFe Hydroxides into Nitrogen-Doped Graphene Frameworks Leading to Superior Oxygen Evolution Reactivity, Adv. Mater., 2015, 27, 4524,  DOI:10.1002/adma.201570205.
  70. M. W. Glasscott, A. D. Pendergast, S. Goines, A. R. Bishop, A. T. Hoang, C. Renault and J. E. Dick, Electrosynthesis of high-entropy metallic glass nanoparticles for designer, multi-functional electrocatalysis, Nat. Commun., 2019, 10, 2650,  DOI:10.1038/s41467-019-10303-z.
  71. G. Karkera, T. Sarkar, M. D. Bharadwaj and A. S. Prakash, Design and Development of Efficient Bifunctional Catalysts by Tuning the Electronic Properties of Cobalt–Manganese Tungstate for Oxygen Reduction and Evolution Reactions, ChemCatChem, 2017, 9, 3681–3690,  DOI:10.1002/cctc.201700540.
  72. L. Sharma, N. K. Katiyar, A. Parui, R. Das, R. Kumar, C. S. Tiwary, A. K. Singh, A. Halder and K. Biswas, Low-cost high entropy alloy (HEA) for high-efficiency oxygen evolution reaction (OER, Nano Res., 2022, 15, 4799–4806,  DOI:10.1007/s12274-021-3802-4.
  73. C. Zhao, W. Cai, N. Sun, S. Chen, W. Jing and C. Zhao, Facile preparation of porous high-entropy alloy FeCoNiCuMn and its OER performance, J. Phys. Chem. Solids, 2024, 184, 111668,  DOI:10.1016/j.jpcs.2023.111668.
  74. P. Li, X. Wan, J. Su, W. Liu, Y. Guo, H. Yin and D. Wang, A Single-Phase FeCoNiMnMo High-Entropy Alloy Oxygen Evolution Anode Working in Alkaline Solution for over 1000 h, ACS Catal., 2022, 12, 11667–11674,  DOI:10.1021/acscatal.2c02946.
  75. H. Bian, C. Wang, S. Zhao, G. Han, G. Xie, P. Qi, X. Liu, Y. Zeng, D. Zhang and P. Wang, Preparation of highly efficient high-entropy alloy catalysts with electrodeposition and corrosion engineering for OER electrocatalysis, Int. J. Hydrog. Energy, 2024, 57, 651–659,  DOI:10.1016/j.ijhydene.2023.12.271.
  76. M. B. Stevens, L. J. Enman, E. H. Korkus, J. Zaffran, C. D. M. Trang, J. Asbury, M. G. Kast, M. C. Toroker and S. W. Boettcher, Ternary Ni-Co-Fe oxyhydroxide oxygen evolution catalysts: Intrinsic activity trends, electrical conductivity, and electronic band structure, Nano Res., 2019, 12, 2288–2295,  DOI:10.1007/s12274-019-2391-y.
  77. T. Fromme, L. K. Tintrop, S. Reichenberger, T. C. Schmidt and S. Barcikowski, Impact of Chemical and Physical Properties of Organic Solvents on the Gas and Hydrogen Formation during Laser Synthesis of Gold Nanoparticles, Chem. Phys. Chem., 2023, 24, e202300089,  DOI:10.1002/cphc.202300089.
  78. T. Fromme, S. Reichenberger, K. M. Tibbetts and S. Barcikowski, Laser synthesis of nanoparticles in organic solvents – products, reactions, and perspectives, Beilstein J. Nanotechnol., 2024, 15, 638–663,  DOI:10.3762/bjnano.15.54.
  79. S. C. Moldoveanu, Pyrolysis of Organic Molecules: Applications to Health and Environmental Issues, Elsevier, 2009 Search PubMed.
  80. T. Fromme, R. Müller, L. Krenz, L. K. Tintrop, I. Sanjuán, T. C. Schmidt, K. M. Tibbetts, C. Andronescu, S. Reichenberger and S. Barcikowski, Chemical Reaction Pathways during Laser Fragmentation of Metallic Microparticles in Organic Solvents, J. Phys. Chem. C, 2025, 129, 2953–2965,  DOI:10.1021/acs.jpcc.4c06653.
  81. K. Suehara, R. Takai, Y. Ishikawa, N. Koshizaki, K. Omura, H. Nagata and Y. Yamauchi, Reduction Mechanism of Transition Metal Oxide Particles in Thermally Induced Nanobubbles during Pulsed Laser Melting in Ethanol, Chem. Phys. Chem., 2021, 22, 675–683,  DOI:10.1002/cphc.202001000.
  82. V. Amendola, P. Riello and M. Meneghetti, Magnetic Nanoparticles of Iron Carbide, Iron Oxide, Iron@Iron Oxide, and Metal Iron Synthesized by Laser Ablation in Organic Solvents, J. Phys. Chem. C, 2011, 115, 5140–5146,  DOI:10.1021/jp109371m.
  83. V. A. Mints, J. K. Pedersen, J. C. Olsen, M. K. Plenge, M. Arenz and J. Rossmeisl, Unraveling the Mixing Entropy-Activity Relationship in High Entropy Alloy Catalysts: The More, The Better?, J. Am. Chem. Soc., 2026, 148, 4815–4825,  DOI:10.1021/jacs.5c15697.

This journal is © the Owner Societies 2026
Click here to see how this site uses Cookies. View our privacy policy here.