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Synergizing Defect Chemistry and Single-Atom Catalysis: A Mechanistic Approach Toward Photochemical and Electrochemical CO2RR Applications

  • Syed Asim Ali
  • , Iqra Sadiq
  • , Tokeer Ahmad*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

In the past few years, a wide array of heterogeneous single-atom catalysts (SACs) has attracted researchers due to their exceptional performance in CO2 reduction. However, the role of defects in escalating the catalytic activity of SACs remains enigmatic. Through this review, we aim to provide a detailed understanding of the interplay between defects and catalytic activity in SACs. Despite remarkable advancements, a significant lacuna persists in fully elucidating the dynamic role of defects under operational conditions. This necessitates an integrated experimental and theoretical approach to guide the rational design of next-generation SACs for CO2 conversion. Therefore, we aim to account for mechanistic insights into SAC-led photochemical and electrochemical CO2 reduction reaction (CO2RR) without deviating from our objective of ascertaining the causes behind their catalytic efficiency due to defect engineering. The mechanistic toolkit derived from operando characterizations, density functional theory, and machine learning is provided to correlate defect-engineered SACs with improved activity and selectivity for CO2conversion.

Original languageEnglish
JournalAdvanced Energy Materials
DOIs
StateAccepted/In press - 2026
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2026 Wiley-VCH GmbH.

UN SDGs

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

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • CO conversion
  • defect-engineered SACs
  • machine learning
  • molecular dynamics
  • operando analysis

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • General Materials Science

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