Computational screening-aided design of transition metal-doped CeO2 as NH3-SCR catalysts
摘要
Transition metal-doped CeO2 catalysts exhibit great potentials for the selective catalytic reduction (SCR) of nitrogen oxide (NOx) with NH3 (NH3-SCR). However, traditional research mainly relies on a lot of experiments to find out effective catalysts, which wastes a lot of time and resources. Screening out effective CeO2-based catalysts for low-temperature NH3-SCR via density functional theory (DFT) calculations is crucial for the rational design and synthesis of efficient catalysts. Herein, transition metal (M = Co, Cr, Cu, Fe, Mn, Mo, Nb, Ni, Ta, Ti, V, and W)-doped CeO2 catalysts were screened out via accelerated DFT calculations for NH3-SCR of nitric-oxide (NO) using three theoretical terms; (i) an adsorption energy of NH3, (ii) an adsorption energy of NO, and (iii) the reaction energies between NO with O2 and lattice oxygen. The theoretically predicted trend in catalytic performance is as follows: CeO2-Mn, -Cu, -Mo > CeO2-Fe, -Co, -Ni, -V, -Cr > CeO2-W, -Ti > CeO2-Nb, -Ta. The theoretical prediction was well verified via experimental NH3-SCR activity of NO at low temperatures (90–300 °C), demonstrating CeO2-Mo as efficient NH3-SCR catalyst across a broad temperature range. Temperature-programmed desorption of NH3 and in situ diffuse reflectance infrared Fourier transforms spectroscopy further indicated that metal doping significantly enhanced the NH3 adsorption capacity and strength of CeO2 in the medium- to low-temperature range. Consequently, accelerated DFT calculations provide a useful tool with great potentials for predicting the catalytic performance.
Graphical abstract