Prediction of C2N-Supported Double-Atom Catalysts with Individual/Integrated Descriptors for Electrochemical and Thermochemical CO2 Reduction

IF 14.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Chuanyi Jia, Bo Li, Jing Yang, Shuang Jiang, Zhanyong Gu, Li Sun, Wenhui Zhong, Edward Sharman, Yi Luo, Jun Jiang
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Abstract

Electrochemical/thermochemical CO2 reduction reactions (CO2RR) on double-atom catalysts (DACs) have emerged as a novel frontier in energy and environmental catalysis. However, the lack of investigation of the underlying structure–property relationship greatly limits the rational design and practical application of related catalysts. Herein, we carried out a comprehensive theoretical study on CO2RR catalyzed by a series of C2N-supported transition metals to shed light on this issue. We demonstrate that the activity of DAC can be obviously improved by judicious manipulation of metal type, and CoNi with the highest reactivity and excellent selectivity is identified as the most promising candidate for both electroreduction and thermoreduction processes. Then, based on systemically electronic and structural analysis, various quantitative structure–property relationships are established. The results reveal that key interaction and reaction properties of elementary steps can be quantitatively determined directly from individual descriptors, including key species, charge transfer, d-orbital center, bond length, spectroscopic signals, etc, while for total reaction, the integrated descriptors designed by a novel and effective three-step strategy have much better performance. The proposed ability of quantitative prediction of the catalytic property utilizing physically interpretable parameters can significantly broaden the applicability of catalytic descriptors for materials design, thus leading to indispensable guidelines for related DACs.

Abstract Image

c2n负载双原子催化剂对电化学和热化学CO2还原的预测
双原子催化剂(dac)上的电化学/热化学CO2还原反应(CO2RR)已成为能源和环境催化领域的一个新前沿。然而,由于缺乏对其内在结构-性能关系的研究,极大地限制了相关催化剂的合理设计和实际应用。为此,我们对一系列负载c2n的过渡金属催化CO2RR进行了全面的理论研究,以阐明这一问题。研究表明,通过合理的金属类型操作可以明显提高DAC的活性,而具有最高反应活性和优异选择性的CoNi被认为是电还原和热还原过程中最有希望的候选者。然后,在系统的电子分析和结构分析的基础上,建立了各种定量的构性关系。结果表明,从关键物质、电荷转移、d轨道中心、键长、光谱信号等描述符可以直接定量地确定基本步骤的关键相互作用和反应性质,而对于全反应,采用新颖有效的三步策略设计的综合描述符具有更好的性能。所提出的利用物理可解释参数定量预测催化性能的能力可以显着拓宽催化描述符在材料设计中的适用性,从而为相关dac提供不可或缺的指导方针。
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来源期刊
CiteScore
24.40
自引率
6.00%
发文量
2398
审稿时长
1.6 months
期刊介绍: The flagship journal of the American Chemical Society, known as the Journal of the American Chemical Society (JACS), has been a prestigious publication since its establishment in 1879. It holds a preeminent position in the field of chemistry and related interdisciplinary sciences. JACS is committed to disseminating cutting-edge research papers, covering a wide range of topics, and encompasses approximately 19,000 pages of Articles, Communications, and Perspectives annually. With a weekly publication frequency, JACS plays a vital role in advancing the field of chemistry by providing essential research.
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