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cAIMD Simulations Guided Design of Atomic Praseodymium Doping In–Bi Nanofibers for High-Energy-Efficiency CO2 Electrolysis to Formate in Ultra-Wide Potential Window

  • Yumeng Li
  • , Yingmin Jin*
  • , Xuebai Zhang
  • , Mengyu Fu
  • , Ruifan Lin
  • , Guanshu Li
  • , Yueping Xiong*
  • *Corresponding author for this work
  • School of Chemistry and Chemical Engineering, Harbin Institute of Technology
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The electrochemical CO2 reduction reaction (ECO2RR) has emerged as a promising technology for achieving carbon neutralization. Even though considerable efforts are dedicated to gain deep insight into the understanding of ECO2RR on a mechanism level through density functional theory (DFT) studies, effects of solvent molecules and temperature have long been neglected by conventional DFT calculations as a consequence of limitations in current technologies and computational power of supercomputers. Under this context, the lack of comprehensive understanding over the energy changes in the reaction derived from the only concern on free energy changes between reaction intermediates have arouse an urgent call for exploring feasible calculation options toward generalized theoretical study. Here, a systematic mechanism study is provided toward ECO2RR via constrained ab initio molecular dynamics (cAIMD) simulations, in which the effects of solvent water molecules and temperature are taken into consideration to guide the synthesis of single-atom alloy (SAA) catalyst. Consequently, the resultant Pr0.05/InBi achieves a maximum Faradic efficiency (FE) of 96.4% and an energy efficacy (EE) of 59.41% for formate. This work offers a novel approach to the design and screening of SAA catalysts, presenting foreseeable future in accelerating the industrial application process of ECO2RR.

Original languageEnglish
Article number2404660
JournalAdvanced Functional Materials
Volume34
Issue number42
DOIs
StatePublished - 15 Oct 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • DFT
  • constrained ab initio molecular dynamics
  • electrochemical reduction of CO
  • electrospinning

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