计算辅助合成用于配对电合成的单原子镍催化剂

IF 11.5 Q1 CHEMISTRY, PHYSICAL

Chem Catalysis Pub Date : 2024-09-19 DOI:10.1016/j.checat.2024.101117

Jia-qi Bai, Lin-can Fang, Song Sun, Gui-lin Zhuang

引用次数: 0

摘要

在本期的《化学催化》（Chem Catalysis）杂志上，Peng 等人利用计算辅助策略合成了配位几何为 Ni-N4O1 的富氧 Ni-NOC 单原子催化剂，该催化剂在过氧化氢（H2O2）形成和 5- 羟甲基糠醛氧化方面具有优异的性能。这项研究推动了合理设计的高性能 H₂O₂ 生成电催化剂的发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Computational-aided synthesis of single-atom Ni catalyst for paired electrosynthesis

In this issue of Chem Catalysis, Peng et al. utilized a computational-aided strategy to synthesize oxygen-enriched Ni-NOC single-atom catalysts with the coordination geometry of Ni-N₄O₁, featuring the excellent performance of hydrogen peroxide (H₂O₂) formation coupled with 5-hydroxymethylfurfural oxidation. This research advances the development of rationally designed high-performance electrocatalysts for H₂O₂ generation.

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来源期刊

Chem Catalysis

CiteScore

10.50

自引率

6.40%

发文量

期刊介绍： Chem Catalysis is a monthly journal that publishes innovative research on fundamental and applied catalysis, providing a platform for researchers across chemistry, chemical engineering, and related fields. It serves as a premier resource for scientists and engineers in academia and industry, covering heterogeneous, homogeneous, and biocatalysis. Emphasizing transformative methods and technologies, the journal aims to advance understanding, introduce novel catalysts, and connect fundamental insights to real-world applications for societal benefit.