Computational Study of Low-Energy Pt-Ion Implantation into Graphene for Single-Atom Catalysis

Hao Wang, Jiting Tian, Linxin Guo, Xun Guo, Zhanfeng Yan, Jian Zheng, Qijie Feng, Wei Zhou, Jianming Xue

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Abstract

Single-atom catalysts (SACs) represent the ultimate goal of nanocatalysis fields. However, complex synthesis processes and pyrolysis inactivation problems are the two main challenges that plague the development of SACs. In this work, we propose that the ultralow-energy ion-implantation (ULEII) method could be utilized to simply and efficiently synthesize stable SACs. Our simulation results of Pt-ion implantation into graphene indicate that the total doping efficiency, including direct displacement doping and indirect trap doping, can be effectively optimized by delicately adjusting the energy of incident ions. Further systematic molecular dynamics simulations and first-principles calculations demonstrate that irradiation-induced vacancy defects can effectively capture and anchor adsorbed metal atoms on the graphene surface. The stability and migration characteristics of various defects are also clearly elucidated. Theoretically, by selecting an optimal ion energy, the ULEII method can achieve a doping efficiency as high as 73.4%.

Original languageEnglish
Pages (from-to)8583-8593
Number of pages11
JournalACS Applied Nano Materials
Volume5
Issue number6
DOIs
Publication statusPublished - 24 Jun 2022

Keywords

  • direct displacement doping
  • first-principles calculations
  • indirect trap doping
  • ion implantation
  • molecular dynamics simulation

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Wang, H., Tian, J., Guo, L., Guo, X., Yan, Z., Zheng, J., Feng, Q., Zhou, W., & Xue, J. (2022). Computational Study of Low-Energy Pt-Ion Implantation into Graphene for Single-Atom Catalysis. ACS Applied Nano Materials, 5(6), 8583-8593. https://doi.org/10.1021/acsanm.2c02051