Experimental and Computational Study Toward Identifying Active Sites of Supported SnO Nanoparticles for Electrochemical CO Reduction Using Machine-Learned Interatomic Potentials.

SnO has received great attention as an electrocatalyst for CO reduction reaction (CORR), however; it still suffers from low activity. Moreover, the atomic-level SnO structure and the nature of the active sites are still ambiguous due to the dynamism of surface structure and difficulty in structure characterization under electrochemical conditions. Herein, CORR performance is enhanced by supporting SnO nanoparticles on two common supports, vulcan carbon and TiO.

The effect of the pyrolysis temperature and biomass type on the biocarbons characteristics.

The conversion of biomass and natural wastes into carbon-based materials for various applications such as catalysts and energy-related materials is a fascinating and sustainable approach emerged during recent years. Precursor nature and characteristics are complex, hence, their effect on the properties of resulting materials is still unclear. In this work, we have investigated the effect of different precursors and pyrolysis temperature on the properties of produced carbon materials and their potential application as negative electrode materials in Li-ion batteries.