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The major obstacle for selective CO2 photoreduction to C2 hydrocarbons lies in the difficulty of C–C coupling, which is usually restrained by the repulsive dipole–dipole interaction between adjacent carbonaceous intermediates. Herein, we first construct semiconducting atomic layers featuring abundant Metaln+-Metalδ+ pair sites (0 < δ < n), aiming to tailor asymmetric charge distribution on the carbonaceous intermediates and hence trigger their C–C coupling for selectively yielding C2 hydrocarbons. As an example, we first fabricate Co-doped NiS2 atomic layers possessing abundant Ni2+-Niδ+ (0 < δ < 2) pairs, where Co doping strategy can ensure higher amount of Ni 2+-Niδ+ pair sites. In-situ Fourier-transform infrared spectroscopy, quasi in-situ Raman spectroscopy and density-functional-theory calculations disclose the Ni2+-Niδ+ pair sites endow the adjacent CO intermediates with distinct charge densities, thus decreasing their dipole–dipole repulsion and hence lowering the rate-limiting C–C coupling reaction barrier. As a result, in simulated flue gas (10% CO2 balance 90% N2), the ethylene selectivity for Co-doped NiS2 atomic layers reaches up to 74.3% with an activity of 70 μg·g−1·h−1, outperforming previously reported photocatalysts under similar operating conditions.

Publication history
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Acknowledgements

Publication history

Received: 05 July 2021
Revised: 02 August 2021
Accepted: 02 August 2021
Published: 04 September 2021
Issue date: March 2022

Copyright

© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021

Acknowledgements

Acknowledgements

This work was financially supported by National Key R&D Program of China (Nos. 2019YFA0210004 and 2017YFA0207301), National Natural Science Foundation of China (Nos. 21975242, U2032212, 21890754, and 21805267), the Strategic Priority Research Program of Chinese Academy of Sciences (No. XDB36000000), Youth Innovation Promotion Association of CAS (No. CX2340007003), Major Program of Development Foundation of Hefei Center for Physical Science and Technology (No. 2020HSC-CIP003), Key Research Program of Frontier Sciences of CAS (No. QYZDY-SSW-SLH011), the Fok Ying-Tong Education Foundation (No. 161012). Supercomputing USTC and National Supercomputing Center in Shenzhen are acknowledged for computational support.

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