Litcius/Paper detail

Ab initio modelling of photocatalytic CO2 reduction reactions over Cu/TiO2 semiconductors including the electronic excitation effects

Žan Kovačič, Blaž Likozar, Matej Huš

2024Chemical Engineering Journal13 citationsDOIOpen Access PDF

Abstract

• The first comprehensive study incorporating excited states to analyze reaction mechanism across diverse surfaces. • Unlike most studies conducted solely in the ground state, our research explicitly incorporates excited states. • The significance of excited states in obtaining accurate results is demonstrated by microkinetic models. Photocatalysis is a promising method for reducing CO 2 in an environmentally friendly way. Despite extensive experimental studies, theoretical studies lag behind and often resort to describing catalysts in the excited state, while the reaction mechanism is mostly studied at the ground level. We theoretically calculate a full reaction mechanism of CO 2 reduction to CO in the excited state for five surfaces: Cu(1 1 1), anatase(1 1 0), rutile(1 0 1) and Cu/anatase, Cu/rutile using the ΔSCF approach. We show that excited states considerably lower activation barriers, making it necessary in describing the experimental performance. The density functional theory calculations in the excited state are used to construct a microkinetic model, which is used to predict the performance of each catalytic surface. We show that Cu(1 1 1) is photocatalytically inactive, TiO 2 is only active in the UV range and catalyzes water splitting. Only Cu/rutile is active for CO 2 reduction to CO, while Cu/anatase produces more H 2 .

Topics & Concepts

PhotocatalysisAb initioExcitationSemiconductorReduction (mathematics)Materials scienceAb initio quantum chemistry methodsElectronic structureChemistryComputational chemistryPhysical chemistryPhotochemistryOptoelectronicsCatalysisPhysicsMathematicsOrganic chemistryGeometryQuantum mechanicsMoleculeAdvanced Photocatalysis TechniquesCopper-based nanomaterials and applicationsCatalytic Processes in Materials Science