The geometric-electronic coupled design of diatomic catalyst towards oxygen reduction reaction

IF 14.7 1区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Yan Liu, Yan Yang, Xuanni Lin, Yutao Lin, Zhiwen Zhuo, Dong Liu, Junjie Mao, Jun Jiang
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引用次数: 0

Abstract

Diatomic catalysts are promising candidates for heterogeneous catalysis, whereas the rational design meets the challenges of numerous optional elements and the correlated alternation of parameters that affect the performance. Herein, we demonstrate a geometric-electronic coupled design of diatomic catalysts towards oxygen reduction reaction through machine learning derived catalytic “hot spot map”. The hot spot map is constructed with two descriptors as axes, including the geometric distance of the diatom and electronic magnetic moment. The narrow hot region in the map indicates the necessary collaborative regulation of the geometric and electronic effects for catalyst design. As a predicted ideal catalyst for oxygen reduction reaction, the N-bridged Co, Mn diatomic catalyst (Co-N-Mn/NC) is experimentally synthesized with a half-wave potential of 0.90 V, together with the embodied zinc air battery displaying high peak power density of 271 mW cm−2 and specific capacity of 806 mAh g − 1Zn. This work presents an advanced prototype for the comprehensive design of catalysts.

Abstract Image

氧还原反应双原子催化剂的几何-电子耦合设计
双原子催化剂是多相催化的理想选择,但其合理设计面临着众多可选元素和影响其性能的相关参数变化的挑战。在此,我们通过机器学习导出的催化“热点图”,展示了双原子催化剂对氧还原反应的几何-电子耦合设计。热点图以硅藻的几何距离和电子磁矩两个描述符为轴构建。图中狭窄的热区表明了催化剂设计中几何效应和电子效应的必要协同调节。实验合成了半波电位为0.90 V的n桥Co, Mn双原子催化剂(Co- n -Mn/NC),并获得了峰值功率密度为271 mW cm - 2、比容量为806 mAh g - 1Zn的锌空气电池。这项工作为催化剂的综合设计提供了一个先进的原型。
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来源期刊
Nature Communications
Nature Communications Biological Science Disciplines-
CiteScore
24.90
自引率
2.40%
发文量
6928
审稿时长
3.7 months
期刊介绍: Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.
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