Navigating Complexity to Design Nanostructured High‐Entropy Alloy Catalysts

Abstract Nanostructured high‐entropy alloys (nHEAs) are a prominent subclass of high‐entropy materials (HEMs). They exhibit a high specific surface area and vast morphological space enabled by their nanoscale dimensions, making them highly promising catalytic materials. Despite these merits, the nanostructure also introduces additional structural complexities and increases reconstruction during catalysis, which pose major challenges to their rational design. In this review, this inherent duality of nHEAs in catalysis is highlighted, and a comprehensive overview of recent advances aimed at addressing their structural complexities is provided. It is begun by elucidating the origins of these complexities, which mainly arise from the nearly infinite compositional possibilities, diverse atomic stacking configurations, and the intricate structures at the (sub)nanometer scale. Then, state‐of‐the‐art tools and methods are presented for managing these complexities and accelerating the discovery of next‐generation nHEAs catalysts, including high‐throughput synthesis and screening, first‐principle calculations, and machine learning. More importantly, emerging design principles are summarized that move beyond simple, trial‐and‐error compositional and configurational tuning, toward holistic and systematically integrated design strategies. This review delves into the intricate complexities of nHEAs and their corresponding strategies, aiming to provide valuable insights for their rational design in a variety of chemical transformations.

Authors

Institutions

Publication Details

Journal
Advanced Energy Materials
Published
2025-10-28
DOI
https://doi.org/10.1002/aenm.202504545
Citations
5
Primary Topic
High Entropy Alloys Studies
Type
article
Field-Weighted Citation Impact
3.57
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Navigating Complexity to Design Nanostructured High‐Entropy Alloy Catalysts

Guohua Gao, Jiace Hao, Tongde Wang, Han Zhu et al.
5 citations
Advanced Energy Materials
High Entropy Alloys Studies
3.57
article

Navigating Complexity to Design Nanostructured High‐Entropy Alloy Catalysts

Guohua Gao, Jiace Hao, Tongde Wang, Han Zhu, Zechao Zhuang, Xuan Zheng, Yi Lu, Wu Guangming
article en
5 citations

Abstract

Abstract Nanostructured high‐entropy alloys (nHEAs) are a prominent subclass of high‐entropy materials (HEMs). They exhibit a high specific surface area and vast morphological space enabled by their nanoscale dimensions, making them highly promising catalytic materials. Despite these merits, the nanostructure also introduces additional structural complexities and increases reconstruction during catalysis, which pose major challenges to their rational design. In this review, this inherent duality of nHEAs in catalysis is highlighted, and a comprehensive overview of recent advances aimed at addressing their structural complexities is provided. It is begun by elucidating the origins of these complexities, which mainly arise from the nearly infinite compositional possibilities, diverse atomic stacking configurations, and the intricate structures at the (sub)nanometer scale. Then, state‐of‐the‐art tools and methods are presented for managing these complexities and accelerating the discovery of next‐generation nHEAs catalysts, including high‐throughput synthesis and screening, first‐principle calculations, and machine learning. More importantly, emerging design principles are summarized that move beyond simple, trial‐and‐error compositional and configurational tuning, toward holistic and systematically integrated design strategies. This review delves into the intricate complexities of nHEAs and their corresponding strategies, aiming to provide valuable insights for their rational design in a variety of chemical transformations.

Advanced Energy MaterialsVol. 16(4)
Jiangnan University (CN), Tongji University (CN), Nanjing Forestry University (CN), Xiamen University (CN)
Openalex Percentile: Top 7%
High Entropy Alloys Studies
3.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.