Size-Controllable High-Entropy Alloys Toward Stable Hydrogen Production at Industrial-Scale Current Densities

© 2025 Wiley‐VCH GmbH.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - 37(2025), 10 vom: 01. März, Seite e2420173
1. Verfasser: Wang, Qian (VerfasserIn)
Weitere Verfasser: Qin, Yao, Xie, Jiacheng, Kong, Yafen, Sun, Qian, Wei, Zengxi, Zhao, Shuangliang
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2025
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article element‐encoding machine learning high current density high‐entropy alloy hydrogen evolution reaction melting point
Beschreibung
Zusammenfassung:© 2025 Wiley‐VCH GmbH.
Efficient and stable electrocatalytic hydrogen evolution reaction (HER) at high current densities is highly desirable for industrial-scale hydrogen production, which is yet challenging, because of the electrocatalyst with short lifespans during the acidic HER process. Here, a controllable preparation technique is successfully developed to synthesize PdPtRuRhAu high-entropy alloys (HEAs) of various sizes, within the 3.14 nm particles (HEA-3.14) demonstrating exceptional catalytic performance and stable hydrogen production at current densities of -500 and -1000 mA·cm-2 with negligible activity loss over 100 h. Theoretical calculations indicate that the bridge adsorption site of Pd-Au serves as an ideal location for HER, with HEA-3.14 possessing the highest proportion of such sites, reaching 18.97%. To further analyze the thermodynamic stability of HEAs, an element-encoding machine learning model is developed from over 300 000 preprocessed dataset of HEAs that achieving an impressively low RMSE of 58.6 °C and a high R2 value of 0.98. By integrating thermodynamic modeling with machine learning methods, the melting point of the PdPtRuRhAu HEAs at 3.14 nm (366 °C) is predicted, which aligns well with the results obtained from differential scanning calorimetry tests. This work offers new insights and approaches for designing HEAs that reliably produce hydrogen at high current densities
Beschreibung:Date Revised 12.03.2025
published: Print-Electronic
Citation Status PubMed-not-MEDLINE
ISSN:1521-4095
DOI:10.1002/adma.202420173