{"title":"High-Entropy Alloys in Catalysis: Progress, Challenges, and Prospects.","authors":"Liang Sun, Kaihua Wen, Guanjie Li, Xindan Zhang, Xiaohui Zeng, Bernt Johannessen, Shilin Zhang","doi":"10.1021/acsmaterialsau.4c00080","DOIUrl":null,"url":null,"abstract":"<p><p>High-entropy alloys (HEAs) have become pivotal materials in the field of catalysis, offering unique advantages due to their diverse elemental compositions and complex atomic structures. Recent advances in computational techniques, particularly density functional theory (DFT) and machine learning (ML), have significantly enhanced our understanding and design of HEAs for use in catalysis. These innovative atomistic simulations shed light on the properties of HEAs, enabling the discovery and optimization of catalysis materials for solid-solution structures. This Perspective discusses recent studies that illustrate the progress of HEAs in catalysis. It offers an overview of the properties, constraints, and prospects of HEAs, emphasizing their roles in catalysis to enhance catalytic activity and selectivity. The discussion underscores the capabilities of HEAs as multifunctional catalysts with stable structures. The presented insights aim to inspire future computational and experimental efforts to address the challenges in fine-tuning HEAs properties for improved catalytic performance.</p>","PeriodicalId":29798,"journal":{"name":"ACS Materials Au","volume":"4 6","pages":"547-556"},"PeriodicalIF":5.7000,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11565283/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Materials Au","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1021/acsmaterialsau.4c00080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/13 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
High-entropy alloys (HEAs) have become pivotal materials in the field of catalysis, offering unique advantages due to their diverse elemental compositions and complex atomic structures. Recent advances in computational techniques, particularly density functional theory (DFT) and machine learning (ML), have significantly enhanced our understanding and design of HEAs for use in catalysis. These innovative atomistic simulations shed light on the properties of HEAs, enabling the discovery and optimization of catalysis materials for solid-solution structures. This Perspective discusses recent studies that illustrate the progress of HEAs in catalysis. It offers an overview of the properties, constraints, and prospects of HEAs, emphasizing their roles in catalysis to enhance catalytic activity and selectivity. The discussion underscores the capabilities of HEAs as multifunctional catalysts with stable structures. The presented insights aim to inspire future computational and experimental efforts to address the challenges in fine-tuning HEAs properties for improved catalytic performance.
期刊介绍:
ACS Materials Au is an open access journal publishing letters articles reviews and perspectives describing high-quality research at the forefront of fundamental and applied research and at the interface between materials and other disciplines such as chemistry engineering and biology. Papers that showcase multidisciplinary and innovative materials research addressing global challenges are especially welcome. Areas of interest include but are not limited to:Design synthesis characterization and evaluation of forefront and emerging materialsUnderstanding structure property performance relationships and their underlying mechanismsDevelopment of materials for energy environmental biomedical electronic and catalytic applications