The effect of grain boundary in hexagonal boron nitride on catalytic activity of nitrogen reduction reaction

Yanyang Qin, De Yin Wu, Yaqiong Su (Corresponding author)

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11 Citaten (Scopus)
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Samenvatting

Designing high-efficiency electrocatalysts is of great significance to produce ammonia via electroreduction reaction of nitrogen (NRR). To this end, grain boundary catalysis (GBC) has emerged as a promising strategy experimentally. Herein, based on first principles calculations, we modeled the grain boundary (GB) structures of hexagonal boron nitride (h-BN), then 12 transition metal atoms (TM = Sc, Ti, V, Cr, Mn, Fe, Co, Y, Zr, Mo, Ru, and Rh) were anchored on the GB structures to construct single-atom catalysts, the most ideal overpotential of NRR is as low as 0.13 V for Mo adatoms on GB. Additionally, more sophisticated situations in regard to h-BN GB were considered, meanwhile electronic structure analysis was also conducted. We found that, the configuration and density of GB can hardly influence the catalytic activity at GB, while the coordinated B bonded with Mo strongly modified the spin states and the bonding strengths within certain intermediates, leading to this excellent NRR catalytic activity. This work not only provides a new strategy for the development of highly efficient and stable NRR electrocatalysts, but also enhances the understanding on the origin of GBC.

Originele taal-2Engels
Artikelnummer153468
Aantal pagina's9
TijdschriftApplied Surface Science
Volume593
DOI's
StatusGepubliceerd - 15 aug. 2022

Bibliografische nota

Publisher Copyright:
© 2022 Elsevier B.V.

Financiering

This work is financially supported by the National Natural Science Foundation of China (No. 22103059 ). Y. Su acknowledges the “Young Talent Support Plan” of Xi'an Jiaotong University and the Open Funds of State Key Laboratory of Physical Chemistry of Solid Surfaces (Xiamen University No. 202018 ). Supercomputing facilities were provided by The Netherlands Organization for Scientific Research (NWO) and Hefei Advanced Computing Center. This work is financially supported by the National Natural Science Foundation of China (No. 22103059). Y. Su acknowledges the “Young Talent Support Plan” of Xi'an Jiaotong University and the Open Funds of State Key Laboratory of Physical Chemistry of Solid Surfaces (Xiamen University No. 202018). Supercomputing facilities were provided by The Netherlands Organization for Scientific Research (NWO) and Hefei Advanced Computing Center.

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