From the Sabatier principle to a predictive theory of transition-metal heterogeneous catalysis

Andrew J. Medford, Aleksandra Vojvodic*, Jens S. Hummelshøj, Johannes Voss, Frank Abild-Pedersen, Felix Studt, Thomas Bligaard, Anders Nilsson, Jens K. Nørskov

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review


We discuss three concepts that have made it possible to develop a quantitative understanding of trends in transition-metal catalysis: scaling relations, activity maps, and the d-band model. Scaling relations are correlations between surface bond energies of different adsorbed species including transition states; they open the possibility of mapping the many parameters determining the rate of a full catalytic reaction onto a few descriptors. The resulting activity map can be viewed as a quantitative implementation of the classical Sabatier principle, which states that there is an optimum "bond strength" defining the best catalyst for a given reaction. In the modern version, the scaling relations determine the relevant "bond strengths" and the fact that these descriptors can be measured or calculated makes it a quantitative theory of catalysis that can be tested experimentally by making specific predictions of new catalysts. The quantitative aspect of the model therefore provides new possibilities in catalyst design. Finally, the d-band model provides an understanding of the scaling relations and variations in catalytic activity in terms of the electronic structure of the transition-metal surface.

Original languageEnglish
JournalJournal of Catalysis
Pages (from-to)36-42
Number of pages7
Publication statusPublished - 2015
Externally publishedYes


  • Computational catalysis
  • Descriptor
  • DFT
  • Heterogeneous catalysis
  • Sabatier principle
  • Scaling relation
  • Theory
  • Transition metals


Dive into the research topics of 'From the Sabatier principle to a predictive theory of transition-metal heterogeneous catalysis'. Together they form a unique fingerprint.

Cite this