Entropy Engineering Activates Cu-Fe Inertia Center From Prussian Blue Analogs With Micro-Strains for Oxygen Electrocatalysis in Zn-Air Batteries

IF 19.5 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Carbon Energy Pub Date : 2025-03-24 DOI:10.1002/cey2.693
Han Man, Guanyu Chen, Fengmei Wang, Jiafeng Ruan, Yihao Liu, Yang Liu, Fang Fang, Renchao Che
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引用次数: 0

Abstract

By the random distribution of metals in a single phase, entropy engineering is applied to construct dense neighboring active centers with diverse electronic and geometric structures, realizing the continuous optimization of multiple primary reactions for oxygen reduction reaction (ORR) and oxygen evolution reaction (OER). Many catalysts developed through entropy engineering have been built in nearly equimolar ratios to pursue high entropy, hindering the identification of the active sites and potentially diluting the concentration of real active sites while weakening their electronic interactions with reaction intermediates. Herein, this work proposes an entropy-engineering strategy in metal nanoparticle-embedded nitrogen carbon electrocatalysts, implemented by entropy-engineered Prussian blue analogs (PBA) as precursors to enhance the catalytic activity of primary Cu-Fe active sites. Through the introduction of the micro-strains driven by entropy engineering, density functional theory (DFT) calculations and geometric phase analysis (GPA) using Lorentz electron microscopy further elucidate the optimization of the adsorption/desorption of intermediates. Furthermore, the multi-dimensional morphology and the size diminishment of the nanocrystals serve to expand the electrochemical area, maximizing the catalytic activity for both ORR and OER. Notably, the Zn-air battery assembled with CuFeCoNiZn-NC operated for over 1300 h with negligible decay. This work presents a paradigm for the design of low-cost electrocatalysts with entropy engineering for multi-step reactions.

熵工程激活微应变普鲁士蓝类似物的Cu-Fe惯性中心用于锌空气电池的氧电催化
利用金属在单相中的随机分布,利用熵工程构建具有不同电子结构和几何结构的密集相邻活性中心,实现氧还原反应(ORR)和析氧反应(OER)多个主反应的连续优化。通过熵工程开发的许多催化剂都是在接近等摩尔比的情况下构建的,以追求高熵,这阻碍了活性位点的识别,并可能稀释实际活性位点的浓度,同时削弱了它们与反应中间体的电子相互作用。本研究提出了一种熵工程策略,通过熵工程普鲁士蓝类似物(PBA)作为前体,在金属纳米颗粒包埋的氮碳电催化剂中实现熵工程策略,以提高Cu-Fe初级活性位点的催化活性。通过引入熵工程驱动的微应变,利用密度泛函理论(DFT)计算和洛伦兹电子显微镜的几何相分析(GPA)进一步阐明了中间体吸附/解吸的优化。此外,纳米晶体的多维形态和尺寸的减小有助于扩大电化学区域,最大化ORR和OER的催化活性。值得注意的是,用CuFeCoNiZn-NC组装的锌空气电池工作超过1300小时,衰变可以忽略不计。本研究为低成本多步反应电催化剂的熵工程设计提供了一个范例。
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来源期刊
Carbon Energy
Carbon Energy Multiple-
CiteScore
25.70
自引率
10.70%
发文量
116
审稿时长
4 weeks
期刊介绍: Carbon Energy is an international journal that focuses on cutting-edge energy technology involving carbon utilization and carbon emission control. It provides a platform for researchers to communicate their findings and critical opinions and aims to bring together the communities of advanced material and energy. The journal covers a broad range of energy technologies, including energy storage, photocatalysis, electrocatalysis, photoelectrocatalysis, and thermocatalysis. It covers all forms of energy, from conventional electric and thermal energy to those that catalyze chemical and biological transformations. Additionally, Carbon Energy promotes new technologies for controlling carbon emissions and the green production of carbon materials. The journal welcomes innovative interdisciplinary research with wide impact. It is indexed in various databases, including Advanced Technologies & Aerospace Collection/Database, Biological Science Collection/Database, CAS, DOAJ, Environmental Science Collection/Database, Web of Science and Technology Collection.
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