Journal of Environmental Chemical Engineering, Volume 13, Issue 3 , 01/06/2025

DFT-Guided screening and descriptor based design of transition metal-doped porous boron nitride for efficient CO2 reduction to C1 products

Ratchadaree Intayot, Nuttapon Yodsin, Alejandro Montoya, Siriporn Jungsuttiwong, Yuwanda Injongkol

Abstract

Carbon dioxide (CO2) capture and utilization have garnered significant interest across various industrial fields due to both challenges and opportunities. This study presents a comprehensive theoretical screening of 18 transition metal-doped defective porous boron nitride (TM@p-BNVB and TM@p-BNVN) catalysts using density functional theory (DFT) to assess their potential for CO2 reduction reaction (CO2RR). Among these, 11 TM@p-BNVB candidates exhibited excellent thermodynamic and electrochemical stability, effective CO2 activation and high selectivity for CO2RR. Transition metals such as V, Fe, Ni, Cu, and Pd anchored on p-BNVB emerged as top performers, demonstrating outstanding activity and selectivity toward C1 products while effectively surpassing the competing hydrogen evolution reaction (HER). Specifically, V@p-BNVB and Fe@p-BNVB exhibited remarkable electrocatalytic activity for HCOOH and CH3OH production, achieving exceptionally low limiting potentials of-0.16V and-0.12V for V@p-BNVB, and-0.05V and-0.20V for Fe@p-BNVB, respectively. Notable, V@p-BNVB displayed the lowest limiting potential for CH3OH production, while Fe@p-BNVB showed superior activity for HCOOH generation, underscoring their exceptional activity and selectivity among the screened materials. Furthermore, this study introduces an innovative descriptor that quantitatively elucidates structure-Activity relationships for C1 product formation. Derived from fundamental properties such as d-electron count and the electronegativity of the metal, along with the generalized electronegativity of substrate atoms and key intermediates, the descriptor φ provides a straightforward yet effective framework for predicting catalytic performance. These findings offer valuable insights and establish a robust foundation for the rational design and screening of highly active and selective CO2RR catalysts.

Document Type

Article

Source Type

Journal

Keywords

ElectrocatalystBoron nitrideCO2conversionDescriptorsDFT

ASJC Subject Area

Environmental Science : Environmental Science (miscellaneous)Chemical Engineering : Chemical Engineering (miscellaneous)Chemical Engineering : Process Chemistry and TechnologyEnvironmental Science : PollutionEnvironmental Science : Waste Management and DisposalChemical Engineering : Chemical Engineering (all)Engineering : Engineering (all)

Funding Agency

Center of Excellence for Innovation in Chemistry


Bibliography


Intayot, R., Yodsin, N., Montoya, A., Jungsuttiwong, S., & Injongkol, Y. (2025). DFT-Guided screening and descriptor based design of transition metal-doped porous boron nitride for efficient CO2 reduction to C1 products. Journal of Environmental Chemical Engineering, 13(3) doi:10.1016/j.jece.2025.117039

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