Chinese Journal of Catalysis ›› 2022, Vol. 43 ›› Issue (7): 1860-1869.DOI: 10.1016/S1872-2067(21)64011-1

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Computational screening of O-functional MXenes for electrocatalytic ammonia synthesis

Yijing Gaoa,b,c,, Shijie Zhangb,, Xiang Sunb,, Wei Zhaob, Han Zhuob, Guilin Zhuangb, Shibin Wangb, Zihao Yaob, Shengwei Dengb, Xing Zhongb, Zhongzhe Weib, Jian-guo Wangb,*()   

  1. aZhejiang Engineering Laboratory for Green Syntheses and Applications of Fluorine-Containing Specialty Chemicals, Institute of Advanced Fluorine-Containing Materials, Zhejiang Normal University, Jinhua 321004, Zhejiang, China
    bInstitute of Industrial Catalysis, College of Chemical Engineering, State Key Laboratory Breeding Base of Green-Chemical Synthesis Technology, Zhejiang University of Technology, Hangzhou 310032, Zhejiang, China
    cKey Laboratory of the Ministry of Education for Advanced Catalysis Materials, Institute of Physical Chemistry, Zhejiang Normal University, Jinhua 321004, Zhejiang, China
  • Received:2021-10-22 Accepted:2021-12-11 Online:2022-07-18 Published:2022-05-20
  • Contact: Jian-guo Wang
  • About author:First author contact:

    Contributed equally to this work.

  • Supported by:
    National Natural Science Foundation of China(21878272);National Natural Science Foundation of China(21625604);Natural Science Foundation of Shandong Province(ZR2020ZD35)

Abstract:

The nitrogen reduction reaction (NRR) using new and efficient electrocatalysts is a promising alternative to the traditional Haber-Bosch process. Nevertheless, it remains a challenge to design efficient catalysts with improved catalytic performance. Herein, various O-functional MXenes were investigated as NRR catalysts by a combination of density functional theory calculations and least absolute shrinkage and selection operator (LASSO) regression. Nb3C2OX has been regarded as a promising catalyst for the NRR because of its stability, activity, and selectivity. The potential-determining step is *NH2 hydrogenation to *NH3 with a limiting potential of -0.45 V. Furthermore, via LASSO regression, the descriptors and equations fitting the relationship between the properties of O-functional MXenes and NRR activity have been proposed. This work not only provides a rational design strategy for catalysts but also provides machine learning data for further investigation.

Key words: Electrocatalytic ammonia synthesis, O-functional MXenes, Density functional theory, Least absolute shrinkage and selection operator regression, Gibbs free energy