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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mater.</journal-id>
<journal-title>Frontiers in Materials</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mater.</abbrev-journal-title>
<issn pub-type="epub">2296-8016</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1613997</article-id>
<article-id pub-id-type="doi">10.3389/fmats.2025.1613997</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Materials</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A mini-review on high-entropy alloy nanomaterials for electrocatalysis: advances and prospects</article-title>
<alt-title alt-title-type="left-running-head">Chen et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fmats.2025.1613997">10.3389/fmats.2025.1613997</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Jiayu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1984522/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Anni</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yumin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xie</surname>
<given-names>Yongfeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Hu</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1644656/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Teng</surname>
<given-names>Wei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3040043/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>State Key Laboratory of Water Pollution Control and Green Resource Recycling</institution>, <institution>College of Environmental Science and Engineering</institution>, <institution>Tongji University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>State Key Laboratory of Disaster Reduction in Civil Engineering</institution>, <institution>Department of Geotechnical Engineering</institution>, <institution>College of Civil Engineering</institution>, <institution>Tongji University</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1297689/overview">Kunal Mondal</ext-link>, Oak Ridge National Laboratory (DOE), United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2149536/overview">Arnab Bose</ext-link>, Boehringer Ingelheim, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3064091/overview">Debabrata Moitra</ext-link>, The University of Tennessee, Knoxville, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Wei Teng, <email>wteng@tongji.edu.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1613997</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Chen, Wu, Zhang, Xie, Zheng and Teng.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Chen, Wu, Zhang, Xie, Zheng and Teng</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>High-entropy alloy nanomaterials (HEA-NMs), composed of multiple metallic elements, offer tunable electronic structures, abundant active sites, and excellent stability, making them highly promising for electrocatalysis. This mini-review summarizes their structural effects influencing electrocatalytic behavior, recent advances in synthesis strategies, and electrocatalytic applications, including the hydrogen evolution reaction (HER), oxygen evolution reaction (OER), oxygen reduction reaction (ORR), carbon dioxide reduction reaction (CO<sub>2</sub>RR), and nitrate reduction reaction (NO<sub>3</sub>RR). Challenges in synthesis scalability and mechanistic probing are discussed, along with future directions for atomic-level design and data-driven catalyst optimization. HEA-NMs offer a versatile platform for sustainable energy and environmental electrocatalysis.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<graphic xlink:href="FMATS_fmats-2025-1613997_wc_abs.tif"/>
</p>
</abstract>
<kwd-group>
<kwd>high-entropy alloy nanomaterials</kwd>
<kwd>electrocatalysis</kwd>
<kwd>fundamental mechanisms</kwd>
<kwd>synthesis strategies</kwd>
<kwd>catalytic performance</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Energy Materials</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>The urgent demand for sustainable energy and environmental solutions has accelerated the development of advanced electrocatalysts, which play a central role in enhancing reaction kinetics and lowering activation barriers in processes such as water splitting (<xref ref-type="bibr" rid="B21">Liu et al., 2025</xref>), fuel cells (<xref ref-type="bibr" rid="B28">Serov, 2022</xref>), and CO<sub>2</sub> conversion (<xref ref-type="bibr" rid="B8">Gandionco et al., 2024</xref>). High-entropy alloys (HEAs), composed of five or more principal elements in near-equimolar ratios, have emerged as a promising class of materials due to their high configurational entropy, which stabilizes single-phase solid solutions (<xref ref-type="bibr" rid="B43">Yeh et al., 2004</xref>). Their unique features including lattice distortion, sluggish diffusion, and multi-element synergy contribute to enhanced structural stability and tunable catalytic properties.</p>
<p>The integration of HEA concepts into the nanoscale has led to the emergence of high-entropy alloy nanomaterials (<xref ref-type="bibr" rid="B19">Li et al., 2024a</xref>), which further benefit from increased surface-to-volume ratios, abundant active sites, and adjustable electronic structures. These attributes enhance intermediate adsorption, accelerate reaction kinetics, and improve product selectivity. Since the first synthesis of HEA nanoparticles in 2018 (<xref ref-type="bibr" rid="B42">Yao et al., 2018</xref>), HEA-NMs have demonstrated impressive performance in various electrochemical reactions, including the hydrogen evolution reaction (HER), oxygen evolution reaction (OER), oxygen reduction reaction (ORR), carbon dioxide reduction (CO<sub>2</sub>RR), and nitrate reduction (NO<sub>3</sub>RR).</p>
<p>This mini-review summarizes recent progress in HEA-NMs for electrocatalysis. We examine the mechanistic origins of their activity, current synthetic approaches for controlled nanostructure fabrication, and their applications in representative electrocatalytic reactions. Finally, we outline remaining challenges and future opportunities for advancing HEA-NMs as multifunctional electrocatalysts for next-generation energy and environmental technologies.</p>
</sec>
<sec id="s2">
<title>2 Mechanistic effects underlying the electrocatalytic behavior of HEA-NMs</title>
<sec id="s2-1">
<title>2.1 High-entropy effect</title>
<p>The high-entropy effect, derived from the near-equiatomic incorporation of five or more elements, leads to high configurational entropy (&#x394;<italic>S</italic>
<sub>mix</sub> &#x2265; 1.5 R) (<xref ref-type="bibr" rid="B35">Wang et al., 2024</xref>) and low Gibbs free energy of intermetallic compounds (&#x394;<italic>G</italic>
<sub>mix</sub> &#x3d; &#x394;<italic>H</italic>
<sub>mix</sub> &#x2212; <italic>T</italic>&#x394;<italic>S</italic>
<sub>mix</sub>) (<xref ref-type="bibr" rid="B14">Lee et al., 2023</xref>), favoring the formation of stable solid-solution phases over intermetallics. At the nanoscale, this effect is amplified by high surface energy, enabling single-phase structures and enhancing long-term stability in electrochemical environments. Homogeneous multi-element distributions further ensure consistent catalytic activity.</p>
</sec>
<sec id="s2-2">
<title>2.2 Lattice distortion and electronic modulation</title>
<p>Atomic size mismatch induces severe lattice distortion in HEA-NMs, disrupting periodic structures and modifying the local electronic environment (<xref ref-type="bibr" rid="B18">Li et al., 2024b</xref>). This shifts d-band centers and tunes adsorption energies of key intermediates, boosting catalytic performance. Nanoscale effects intensify distortion and promote favorable electronic interactions for reactions such as CO<sub>2</sub> and NO<sub>3</sub>
<sup>&#x2212;</sup> reduction (<xref ref-type="bibr" rid="B29">Shaikh et al., 2024</xref>).</p>
</sec>
<sec id="s2-3">
<title>2.3 Sluggish diffusion and microstructural stability</title>
<p>The multi-element environment introduces diverse diffusion barriers, reducing atomic mobility and suppressing grain coarsening (<xref ref-type="bibr" rid="B14">Lee et al., 2023</xref>). This &#x201c;sluggish diffusion&#x201d; helps preserve the nanostructure and compositional uniformity under harsh conditions, contributing to the thermal and electrochemical durability of HEA-NMs.</p>
</sec>
<sec id="s2-4">
<title>2.4 Cocktail effect and synergistic active sites</title>
<p>The cocktail effect describes the synergistic properties from multielemental interactions that go beyond the sum of individual elements (<xref ref-type="bibr" rid="B12">Kamaruddin et al., 2024</xref>). These include coexisting catalytic sites, adaptive surface reconstructions, and multi-pathway reactivity, all of which enhance charge transfer and overall catalytic versatility (<xref ref-type="bibr" rid="B22">Liu et al., 2024</xref>).</p>
<p>In addition to the above structural and electronic effects, the careful selection of elemental combinations is essential in the designation of HEA-NMs. Factors such as mixing enthalpy, atomic size, and electronegativity must be considered to ensure the formation of single-phase solid solution nanoalloys. Moreover, computational approaches such as density functional theory (DFT) and machine learning (ML) play an increasingly important role in elucidating the microenvironment of HEA-NMs and forecasting interfacial reactions. For instance, <xref ref-type="bibr" rid="B27">Roy et al. (2022)</xref> demonstrated the use of ML algorithms to screen high-entropy alloy catalysts suitable for the selective hydrogenation of CO<sub>2</sub> to methanol. These predictive tools provide valuable insights for the rational design of HEA-NMs tailored for specific electrocatalytic applications.</p>
</sec>
</sec>
<sec id="s3">
<title>3 Synthetic strategies of HEA-NMs for electrocatalysis</title>
<p>The synthesis of HEA-NMs requires methods that ensure compositional uniformity, structural tunability, and nanoscale stability. The main synthesis methods for HEA-NMs include five representative strategies.</p>
<sec id="s3-1">
<title>3.1 Mechanical alloying</title>
<p>This solid-state method uses high-energy ball milling to alloy elemental powders through repeated cold welding and fracturing (<xref ref-type="fig" rid="F1">Figure 1a</xref>) (<xref ref-type="bibr" rid="B25">Mongella et al., 2025</xref>). It enables the formation of metastable solid solutions from even immiscible elements. Post-annealing or cryomilling enhances grain refinement. Though scalable and solvent-free, it often yields irregular or aggregated particles with limited morphology control.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Five synthesis methods for HEA-NMs: <bold>(a)</bold> Mechanical alloying (<xref ref-type="bibr" rid="B25">Mongella et al., 2025</xref>); <bold>(b)</bold> Sputter co-deposition (<xref ref-type="bibr" rid="B23">L&#xf6;ffler et al., 2018</xref>); <bold>(c)</bold> Electrochemical deposition (<xref ref-type="bibr" rid="B1">Bian et al., 2023</xref>); <bold>(d)</bold> Ultrafast shock methods (<xref ref-type="bibr" rid="B42">Yao et al., 2018</xref>); and <bold>(e)</bold> Wet chemical synthesis (<xref ref-type="bibr" rid="B37">Wei et al., 2023</xref>).</p>
</caption>
<graphic xlink:href="fmats-12-1613997-g001.tif"/>
</fig>
</sec>
<sec id="s3-2">
<title>3.2 Sputter co-deposition</title>
<p>This technique allows atomic-level control by co-depositing multiple metals onto substrates (<xref ref-type="fig" rid="F1">Figure 1b</xref>). Parameters like power and deposition time tune size and composition. CrMnFeCoNi HEA-NMs synthesized via ionic liquid as substrate showed exceptionally high electrocatalytic activity and phase stability (<xref ref-type="bibr" rid="B23">L&#xf6;ffler et al., 2018</xref>). This method is ideal for fabricating model electrocatalysts for fundamental studies.</p>
</sec>
<sec id="s3-3">
<title>3.3 Electrochemical deposition</title>
<p>Electrochemical methods involve co-deposition of multiple metal ions onto conductive substrates under applied potential (<xref ref-type="fig" rid="F1">Figure 1c</xref>) (<xref ref-type="bibr" rid="B1">Bian et al., 2023</xref>). This strategy enables the direct growth of HEA-NMs with controllable thickness and crystallinity. It is energy-efficient, room-temperature, and easily scalable. However, achieving uniform deposition of elements with vastly different reduction potentials remains a challenge, often requiring pulse techniques or complexing agents to balance deposition kinetics. These issues become more pronounced during scale-up, with reduced control over composition and particle uniformity.</p>
</sec>
<sec id="s3-4">
<title>3.4 Ultrafast shock synthesis</title>
<p>Ultrafast shock synthesis enables rapid formation of HEA-NMs under non-equilibrium conditions, typically using carbothermal shock, Joule heating, or laser ablation. These methods achieve heating rates exceeding 10<sup>5</sup> K/s, promoting atomic-scale mixing and preventing phase segregation (<xref ref-type="fig" rid="F1">Figure 1d</xref>). The resulting nanoparticles are ultrasmall, often below 5 nm, providing better atomic control. For instance, PtPdRhRuCe HEA-NMs synthesized via carbothermal shock showed enhanced ammonia oxidation activity and phase stability (<xref ref-type="bibr" rid="B42">Yao et al., 2018</xref>).</p>
</sec>
<sec id="s3-5">
<title>3.5 Wet-chemical synthesis</title>
<p>Co-reduction or polyol processes allow controlled nucleation and morphology tuning with scalability. These cost-effective methods are surfactant-compatible but require careful optimization to prevent contamination. Wei et al. synthesized PtMoPdRhNi HEA-NMs exhibiting an ultralow overpotential of 9.7 mV at 10 mA cm<sup>&#x2212;2</sup> in the alkaline HER via this approach (<xref ref-type="fig" rid="F1">Figure 1e</xref>) (<xref ref-type="bibr" rid="B37">Wei et al., 2023</xref>). However, during scale-up, variations in nucleation and reduction rates often lead to elemental segregation and broader particle size distributions.</p>
<p>Each synthesis method for HEA-NMs has specific strengths and limitations in atomic control, scalability, cost, and tunability. Mechanical alloying is inexpensive and scalable but lacks control over morphology and composition. Sputter co-deposition offers atomic precision, suited for mechanistic studies, though high cost and poor scalability limit broader use. Electrochemical deposition is energy-efficient under mild conditions, but uniform co-deposition is difficult due to reduction potential differences. Ultrafast shock synthesis rapidly produces ultrafine, mixed nanoparticles but needs specialized equipment and has limited compositional control. Wet-chemical synthesis is low-cost and flexible but prone to segregation and contamination. Thus, synthesis strategies should match the performance and scalability demands of the target application.</p>
<p>Despite progress, scaling HEA-NM synthesis remains difficult. During batch production, elemental segregation arises from differences in reduction kinetics and nucleation, especially in wet-chemical and electrochemical methods. These approaches also struggle to maintain uniform particle size and composition. Phase control is harder under thermal and concentration gradients at Gram scale. While mechanical alloying and ultrafast shock synthesis show gram-scale potential (e.g., <xref ref-type="bibr" rid="B42">Yao et al., 2018</xref>), industrial adoption is limited by reproducibility, cost, and complexity. Solving these issues is key to enabling HEA-NMs in practical electrocatalytic systems.</p>
</sec>
</sec>
<sec id="s4">
<title>4 Electrocatalytic applications of HEA nanomaterials</title>
<p>HEA-NMs, with high surface-to-volume ratios and compositional complexity, offer abundant active sites, tunable intermediate adsorption, and robust structural stability. These characteristics make them highly promising for key electrochemical reactions, including HER, OER, ORR, CO<sub>2</sub>RR, and NO<sub>3</sub>RR, where they often match or surpass the performance of state-of-the-art single or bimetallic catalysts in terms of overpotential, current density, Tafel slope, conversion, selectivity, and durability (<xref ref-type="table" rid="T1">Table 1</xref>) (<xref ref-type="bibr" rid="B9">Hao et al., 2022</xref>; <xref ref-type="bibr" rid="B34">Wang et al., 2025</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Comparison of the application performance of HEA-NM with single or bimetallic catalysts.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Reaction</th>
<th align="center">Catalyst</th>
<th align="center">Overpotential [V vs. RHE]</th>
<th align="center">Current density [mA cm<sup>-2</sup>]</th>
<th align="center">Tafel slope [mV dec<sup>&#x2212;1</sup>]</th>
<th align="center">TOF [s<sup>&#x2212;1</sup>]</th>
<th align="center">ECSA normalization [cm<sup>&#x2212;2</sup>]</th>
<th align="center">Conversion [%]</th>
<th align="center">Selectivity [%]</th>
<th align="center">Durability</th>
<th align="center">Scalability</th>
<th align="center">Electrolytes</th>
<th align="center">Ref.</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="9" align="center">HER</td>
<td align="center">FeNiCoCrRu</td>
<td align="center">0.148</td>
<td align="center">600</td>
<td align="center">52.2</td>
<td align="center">0.168</td>
<td align="center">5767.5</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td align="center">3050 h@250 mA cm<sup>-2</sup>
</td>
<td align="center">High (process maturity)</td>
<td rowspan="2" align="center">1 M KOH/1 M KOH &#x2b;0.5 M NaCl</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B40">Xie et al. (2024b)</xref>
</td>
</tr>
<tr>
<td align="center">Pt/C</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">84.5</td>
<td align="left"/>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">Pt<sub>21</sub>Ni<sub>27</sub>Fe<sub>19</sub>Co<sub>17</sub>Cu<sub>16</sub>/C</td>
<td align="center">0.012</td>
<td align="center">10</td>
<td align="center">36</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td align="center">High (process maturity)</td>
<td rowspan="2" align="center">1 M KOH</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B15">Li et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">Pt/C</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">98</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">PdMoGaInNi</td>
<td align="center">0.013</td>
<td align="center">10</td>
<td align="center">149</td>
<td align="center">1.2</td>
<td rowspan="3" align="center">&#x2014;</td>
<td rowspan="3" align="center">&#x2014;</td>
<td rowspan="3" align="center">&#x2014;</td>
<td align="center">12 h</td>
<td align="center">High (process maturity)</td>
<td rowspan="3" align="center">0.5 M H<sub>2</sub>SO<sub>4</sub>
</td>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B7">Fu et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">Pd/C</td>
<td align="center">0.042</td>
<td rowspan="2" align="center">&#x2014;</td>
<td align="center">185.1</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">Pt/C</td>
<td align="center">0.017</td>
<td align="center">127.6</td>
<td align="center">0.5</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">RuAu-RGO</td>
<td align="center">0.056</td>
<td align="center">10</td>
<td align="center">113</td>
<td align="center">3.87</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">10 h@0.5 mA cm<sup>&#x2212;2</sup>
</td>
<td align="center">&#x2014;</td>
<td align="center">1 M KOH</td>
<td align="center">
<xref ref-type="bibr" rid="B13">Khalid et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">RuPx@NPC</td>
<td align="center">0.074</td>
<td align="center">10</td>
<td align="center">70</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">1000 CV cycles@10 mA cm<sup>&#x2212;2</sup>
</td>
<td align="center">&#x2014;</td>
<td align="center">1 M KOH</td>
<td align="center">
<xref ref-type="bibr" rid="B5">Chi et al. (2018)</xref>
</td>
</tr>
<tr>
<td rowspan="5" align="center">OER</td>
<td align="center">IrFeCoNiCu</td>
<td align="center">0.302</td>
<td rowspan="3" align="center">10</td>
<td align="center">58</td>
<td rowspan="3" align="center">&#x2014;</td>
<td rowspan="3" align="center">&#x2014;</td>
<td rowspan="3" align="center">&#x2014;</td>
<td rowspan="3" align="center">&#x2014;</td>
<td rowspan="3" align="center">&#x2014;</td>
<td align="center">Low (laboratory scale)</td>
<td rowspan="3" align="center">1 M KOH</td>
<td rowspan="3" align="center">
<xref ref-type="bibr" rid="B24">Maulana et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="center">Ir</td>
<td align="center">0.352</td>
<td align="center">75.8</td>
<td rowspan="2" align="center">&#x2014;</td>
</tr>
<tr>
<td align="center">IrCo</td>
<td align="center">&#x2014;</td>
<td align="center">83.8</td>
</tr>
<tr>
<td align="center">ZnFeNiCoCr</td>
<td align="center">0.305</td>
<td rowspan="2" align="center">10</td>
<td align="center">76.8</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td align="center">240 h</td>
<td align="center">Medium (requires high temperature annealing)</td>
<td rowspan="2" align="center">0.1 M KOH</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B16">Li et al. (2025a)</xref>
</td>
</tr>
<tr>
<td align="center">RuO<sub>2</sub>
</td>
<td align="center">0.328</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="2" align="center">ORR</td>
<td align="center">ZnFeNiCoCr</td>
<td align="center">1.018</td>
<td align="center">&#x2014;</td>
<td align="center">76.8</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">2,000 CV cycles@10 mA cm<sup>&#x2212;2</sup>
</td>
<td align="center">Medium (requires high temperature annealing)</td>
<td align="center">0.1 M KOH</td>
<td align="center">
<xref ref-type="bibr" rid="B16">Li et al. (2025a)</xref>
</td>
</tr>
<tr>
<td align="center">PtNi/NC</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">80.5</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">1,200 s</td>
<td align="center">&#x2014;</td>
<td align="center">0.1 M KOH</td>
<td align="center">
<xref ref-type="bibr" rid="B4">Chen et al. (2023b)</xref>
</td>
</tr>
<tr>
<td rowspan="3" align="center">CO<sub>2</sub>RR</td>
<td align="center">AuAgPtPdCu</td>
<td align="center">&#x2212;0.3</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">5 h</td>
<td align="center">High (process maturity)</td>
<td align="center">0.5 M K<sub>2</sub>SO<sub>4</sub>
</td>
<td align="center">
<xref ref-type="bibr" rid="B26">Nellaiappan et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">FeCoNiMnCuAl@C</td>
<td align="center">1.05</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td rowspan="2" align="center">&#x2014;</td>
<td align="center">134 cycles@100 mA g<sup>&#x2212;1</sup>
</td>
<td align="center">High (process maturity)</td>
<td rowspan="2" align="center">Li<sub>2</sub>CO<sub>3</sub>
</td>
<td rowspan="2" align="center">
<xref ref-type="bibr" rid="B44">Yi et al. (2024)</xref>
</td>
</tr>
<tr>
<td align="center">CuAl@C</td>
<td align="center">1.50</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
</tr>
<tr>
<td rowspan="4" align="center">NO<sub>3</sub>RR</td>
<td align="center">FeCoNiCuRu 1.5/C</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">90.2</td>
<td align="center">92.2</td>
<td align="center">120 h@90.0% conversion rate</td>
<td align="center">High (process maturity)</td>
<td align="center">100 mg N/L &#x2b; 0.1 M Na<sub>2</sub>SO<sub>4</sub>
</td>
<td align="center">
<xref ref-type="bibr" rid="B38">Wu et al. (2025)</xref>
</td>
</tr>
<tr>
<td align="center">FeCoNiCu(Zn)@MC</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">462.5</td>
<td align="center">91.1</td>
<td align="center">89</td>
<td align="center">5 cycles</td>
<td align="center">High (process maturity)</td>
<td align="center">50 mg N/L &#x2b;0.1 M Na<sub>2</sub>SO<sub>4</sub>
</td>
<td align="center">
<xref ref-type="bibr" rid="B2">Chen et al. (2025)</xref>
</td>
</tr>
<tr>
<td align="center">FeNi</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">88.9</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">93.59</td>
<td align="center">86.6</td>
<td align="center">6 cycles</td>
<td align="center">&#x2014;</td>
<td align="center">45 mg N/L &#x2b;0.5 M Na<sub>2</sub>SO<sub>4</sub>
</td>
<td align="center">
<xref ref-type="bibr" rid="B17">Li et al. (2025b)</xref>
</td>
</tr>
<tr>
<td align="center">Cu/TNTA-300</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">557.5</td>
<td align="center">84.3</td>
<td align="center">&#x2014;</td>
<td align="center">10 cycles</td>
<td align="center">&#x2014;</td>
<td align="center">50 mg N/L &#x2b;0.1 M Na<sub>2</sub>SO<sub>4</sub>
</td>
<td align="center">
<xref ref-type="bibr" rid="B31">Song et al. (2022)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<sec id="s4-1">
<title>4.1 HER and OER</title>
<p>HEA-NMs enhance HER and OER via d-band modulation and atomic-level disorder, promoting water dissociation and intermediate adsorption (<xref ref-type="bibr" rid="B37">Wei et al., 2023</xref>). In HER, tuning &#x394;G<sub>H&#x2a;</sub> across heterogeneous sites improves both Volmer and Tafel steps (<xref ref-type="bibr" rid="B11">Huang et al., 2024</xref>). In OER, a wide distribution of &#x2a;OOH binding energies enables overpotential reduction and activity enhancement (<xref ref-type="bibr" rid="B10">He et al., 2023</xref>). The entropy-stabilized structure and &#x201c;cocktail effect&#x201d; contribute to long-term durability. HEA catalysts also maintain stable performance over a broad range of loadings, enabling integration into thin-film and porous electrodes for practical water electrolysis applications.</p>
</sec>
<sec id="s4-2">
<title>4.2 ORR</title>
<p>HEA-NMs improve ORR activity by tuning electronic structures and &#x2a;OOH adsorption through multi-element alloying (<xref ref-type="bibr" rid="B45">Zhao et al., 2024</xref>). The disordered surface provides a range of binding energies, promoting 4e<sup>&#x2212;</sup> pathways and enhanced kinetics. Many HEAs surpass Pt/C in mass activity, half-wave potential, and durability (<xref ref-type="bibr" rid="B3">Chen et al., 2023a</xref>). Their corrosion resistance and composition flexibility allow operation across pH conditions and electrolytes (<xref ref-type="bibr" rid="B39">Xie et al., 2024a</xref>). HEA catalysts also deliver stable performance across various loadings, supporting their integration into cathodes for fuel cells and metal&#x2013;air batteries (<xref ref-type="fig" rid="F2">Figure 2b</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Applications of HEA-NMs in electrocatalysis: <bold>(a)</bold> HER (<xref ref-type="bibr" rid="B9">Hao et al., 2022</xref>), <bold>(b)</bold> ORR (<xref ref-type="bibr" rid="B45">Zhao et al., 2024</xref>; <xref ref-type="bibr" rid="B3">Chen et al., 2023a</xref>), <bold>(c)</bold> CO<sub>2</sub>RR (<xref ref-type="bibr" rid="B26">Nellaiappan et al., 2020</xref>), and <bold>(d)</bold> NO<sub>3</sub>RR (<xref ref-type="bibr" rid="B38">Wu et al., 2025</xref>; <xref ref-type="bibr" rid="B2">Chen et al., 2025</xref>).</p>
</caption>
<graphic xlink:href="fmats-12-1613997-g002.tif"/>
</fig>
</sec>
<sec id="s4-3">
<title>4.3 CO<sub>2</sub>RR</title>
<p>HEA-NMs offer diverse active sites for key intermediates such as &#x2a;COOH, &#x2a;CO, and &#x2a;CHO, enabling tuning of adsorption energies and product selectivity (<xref ref-type="bibr" rid="B6">Ding et al., 2021</xref>; <xref ref-type="bibr" rid="B26">Nellaiappan et al., 2020</xref>). Stronger &#x2a;CO binding favors CH<sub>4</sub> formation, while weaker binding promotes CO evolution. Multi-metallic surfaces facilitate simultaneous stabilization of intermediates and C&#x2013;C coupling (<xref ref-type="bibr" rid="B41">Xing et al., 2025</xref>). Nanoscale features, including high surface area and short diffusion lengths, enhance conversion efficiency. HEA catalysts demonstrate low overpotentials, high current densities, and selective production of hydrocarbons and alcohols, showing strong potential for CO<sub>2</sub> utilization in energy devices (<xref ref-type="fig" rid="F2">Figure 2c</xref>).</p>
</sec>
<sec id="s4-4">
<title>4.4 NO<sub>3</sub>RR</title>
<p>In NO<sub>3</sub>RR, product selectivity (N<sub>2</sub>, NH<sub>3</sub>, NO<sub>2</sub>
<sup>&#x2212;</sup>) depends on both thermodynamic and kinetic factors, including &#x2a;NO, &#x2a;NH<sub>2</sub>, and &#x2a;N adsorption strengths (<xref ref-type="bibr" rid="B2">Chen et al., 2025</xref>). Strong &#x2a;N binding favors NH<sub>3</sub>, while weaker adsorption promotes N<sub>2</sub> evolution. HEA-NMs offer tunable active sites that selectively stabilize intermediates like NO<sub>2</sub>
<sup>&#x2212;</sup> and NH<sub>2</sub>OH, enabling controlled electron transfer and improved selectivity (<xref ref-type="bibr" rid="B32">Tang et al., 2024</xref>). Local pH affects &#x2a;NH<sub>3</sub> desorption and catalyst durability. Cl<sup>&#x2212;</sup>-containing electrolytes can generate reactive chlorine species, further enhancing nitrogen selectivity by suppressing by-products (<xref ref-type="bibr" rid="B33">Tokazhanov et al., 2020</xref>). Our FeCoNiCu-based HEAs demonstrate high nitrate conversion and Faradaic efficiency (<xref ref-type="fig" rid="F2">Figure 2d</xref>), confirming their promise in water treatment and ammonia synthesis (<xref ref-type="bibr" rid="B2">Chen et al., 2025</xref>; <xref ref-type="bibr" rid="B38">Wu et al., 2025</xref>).</p>
</sec>
</sec>
<sec id="s5">
<title>5 Support-enhanced electrocatalysis of HEA-NMs</title>
<p>To enhance dispersion and prevent aggregation of high-surface-energy HEA nanoparticles, HEA-NMs are commonly integrated with conductive supports such as graphene, carbon nanotubes (CNTs), and reduced graphene oxide (rGO). These supports offer anchoring sites that stabilize nanoparticles, promote effective charge transport, and improve electrochemical accessibility. For example, FeCoNiIrRu HEAs supported on carbon nanofibers showed improved OER activity due to better dispersion and conductivity (<xref ref-type="bibr" rid="B46">Zhu et al., 2022</xref>). Mesoporous carbon-supported FeCoNiCu(Zn) HEAs exhibited enhanced NO<sub>3</sub>RR performance, attributed to the accelerated mass transfer and intermediate confinement enabled by the porous architecture (<xref ref-type="bibr" rid="B2">Chen et al., 2025</xref>).</p>
<p>Beyond conductivity, interfacial charge transfer also plays a crucial role. <xref ref-type="bibr" rid="B20">Ling et al. (2025)</xref> demonstrated that rGO anchoring induced d-band modulation in FeCoNiCuSn HEAs, facilitating NO<sub>3</sub>RR. Similarly, MXene-based Pt-doped HEAs exhibited enhanced HER activity through orbital hybridization with hydrogen (<xref ref-type="bibr" rid="B30">Shu et al., 2024</xref>).</p>
<p>Hydrophobic/hydrophilic tailoring of the support surface can further modulate gas&#x2013;liquid&#x2013;solid interfaces. For instance, controlling the hydrophobicity of a Co&#x2013;Cu&#x2013;Mo&#x2013;Pd&#x2013;Re catalyst layer enabled high-current HER by preventing H<sub>2</sub> bubble accumulation (<xref ref-type="bibr" rid="B36">Wang et al., 2024</xref>).</p>
</sec>
<sec id="s6">
<title>6 Challenges and prospects</title>
<p>
<list list-type="simple">
<list-item>
<p>(1) Scalable and controllable synthesis: The scalable synthesis of phase-pure HEA-NMs remains challenging due to compositional deviation, particle size heterogeneity, and environmental risks such as metal leaching. Higher catalyst loadings can induce interfacial stress and detachment in practical electrolyzers. Recovery strategies using green separation techniques should be developed to enable sustainable application.</p>
</list-item>
<list-item>
<p>(2) Mechanistic understanding of catalytic processes: The complex interactions among diverse active sites and their dynamic evolution during reactions remain poorly understood. <italic>In-situ</italic> and operando techniques, such as X-ray absorption spectroscopy, Raman, and TEM, combined with density functional theory (DFT), are essential for elucidating structure&#x2013;activity relationships and guiding rational catalyst design.</p>
</list-item>
<list-item>
<p>(3) Data-driven optimization: The vast compositional space of HEA-NMs renders traditional screening inefficient. Integrating machine learning and high-throughput computation can accelerate catalyst discovery by predicting optimal compositions and identifying key performance descriptors, enabling targeted design of HEA-NMs for specific electrochemical reactions.</p>
</list-item>
<list-item>
<p>(4) Sustainability and Material Lifecycle: The long-term application of HEA-NMs requires attention to sustainability. Many systems still rely on noble metals (e.g., Pt, Pd, Ru), raising cost and supply concerns. Recent efforts toward noble-metal-free HEAs using Fe, Co, Ni, or Cu show promise. End-of-life recovery, recyclability, and lifecycle impact assessments remain underexplored and should be integrated into future HEA catalyst development strategies.</p>
</list-item>
</list>
</p>
</sec>
<sec sec-type="conclusion" id="s7">
<title>7 Conclusion</title>
<p>This mini-review summarizes recent advances in high-entropy alloy nanomaterials (HEA-NMs), focusing on their synthesis, mechanistic effects, and electrocatalytic applications in key reactions such as HER, OER, ORR, CO<sub>2</sub>RR, and NO<sub>3</sub>RR. While the compositional complexity of HEA-NMs enables tunable catalytic properties and superior stability, it also poses challenges in achieving controlled synthesis and understanding dynamic reaction mechanisms. Future research should integrate atomic-scale structural design, <italic>in situ</italic>/operando characterization, and machine-learning-guided screening to accelerate rational catalyst discovery and advance HEA-NMs for clean energy and environmental technologies.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>JC: Investigation, Writing &#x2013; original draft. AW: Writing &#x2013; original draft, Investigation. YZ: Investigation, Writing &#x2013; original draft. YX: Investigation, Writing &#x2013; original draft. HZ: Writing &#x2013; review and editing, Project administration, Funding acquisition. WT: Writing &#x2013; review and editing, Conceptualization, Funding acquisition.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by National Key Research and Development Program of China (2023YFC3700051), the Shanghai Science and Technology Plan Project (No. 23ZR1467000), Basic Research Project of Tongji University (No. 22120240354), and National Natural Science Foundation of China (No. 21976134).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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