What Can We Learn from First Principles Multi-Scale Models in Catalysis? The Role of the Ni/Al2O3 Interface in Water-Gas Shift and Dry Reforming as a Case Study

Authors

  • Lucas Foppa Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1–5, CH-8093 Zurich, Switzerland. foppa@inorg.chem.ethz.ch
  • Kim Larmier IFP Energies Nouvelles, Rond-Point de l'échangeur de Solaize, BP3, 69360 Solaize, France
  • Aleix Comas-Vives Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1–5, CH-8093 Zurich, Switzerland; Department of Chemistry, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Catalonia, Spain

DOI:

https://doi.org/10.2533/chimia.2019.239

Keywords:

Density functional theory, Metal/oxide interfaces, Microkinetic modeling, Supported metal nanoparticle catalysts

Abstract

Computational first principles models based on density functional theory (DFT) have emerged as an important tool to address reaction mechanisms and active sites in metal nanoparticle catalysis. However, the common evaluation of potential energy surfaces for selected reaction steps contrasts with the complexity of reaction networks under operating conditions, where the interplay of adsorbate populations and competing routes at reaction conditions determine the most relevant states for catalyst activity and selectivity. Here, we discuss how the use of a multi-scale first principles approach combining DFT calculations at the atomistic level with kinetic models may be used to understand reactions catalyzed by metal nanoparticles. The potential of such an approach is illustrated for the case of Al2O3-supported Ni nanoparticle catalysts in the water-gas shift and dry reforming reactions. In these systems, both Ni nanoparticle (metal) as well as metal/oxide interface sites are available and may play a role in catalysis, which depends not only on the energy for critical reaction steps, as captured by DFT, but also on the reaction temperature and adsorbate populations, as shown by microkinetic modelling and experiments.

Downloads

Published

2019-04-24

How to Cite

[1]
L. Foppa, K. Larmier, A. Comas-Vives, Chimia 2019, 73, 239, DOI: 10.2533/chimia.2019.239.