Gianfranco Pacchioni: A Few Questions About Single Atom Catalysts: When Theory Helps
Channel: TACO: Taming Complexity in Materials Modeling
Date: 2023-11-23

Gianfranco Pacchioni: A Few Questions About Single Atom Catalysts: When Theory Helps

TACO Colloquium, 20 November 2023

Abstract: In the past, single-atom catalysts (SACs) could not be clearly visualized and characterized due to the limitations associated with instrumental resolution. Today, this is a new frontier in heterogeneous catalysis due to the high activity and selectivity of SACs for various catalytic reactions. This has opened various questions for theory. One is where are the atoms and what is the stability of SACs in working conditions. In order to address these questions, we will discuss the nature of isolated metal species deposited on oxide surfaces (TiO2 and ZrO2 in particular). These systems have been characterized experimentally using high-resolution scanning transmission electron microscopy (STEM), Fourier transform infrared spectroscopy (FTIR), and temperature-programmed desorption (TPD) spectra of adsorbed CO probe molecules. Combining these data with extensive Density Functional Theory (DFT) calculations, one can provide an unambiguous identification of the stable single-atom species present on these supports and of their dynamic behavior. The other question that can be addressed by theory is the prediction of the behavior of SACs in electrocatalytic processes such as the oxygen reduction (ORR), the oxygen evolution (OER), and the hydrogen evolution (HER) reactions. In this context, we assist to a rapidly growing number of DFT studies and of proposals of universal descriptors that should provide a guide to the experimentalist for the synthesis of new catalysts, in particular related to graphene-based SACs. We will critically analyze some of the current problems connected with these DFT predictions: accuracy of the calculations, neglect of important contributions in the models used, physical meaning of the proposed descriptors, inaccurate data sets used to train machine learning algorithms, not to mention some severe problems of reproducibility. It follows that the “rational design” of a catalyst based on some of the proposed universal descriptors or on the DFT screening of a large number of structures should be considered with some caution.

Biography: Gianfranco Pacchioni received his Ph.D. at the Freie Universität Berlin in 1984. He is active in the field of heterogeneous catalysis and oxide materials. He worked at the IBM Almaden Research Center and at the TU Munich. He is Full Professor at the University of Milano Bicocca where he has been Vice Rector for Research (2013-2019) and Director of the Department of Materials Science (2003-2009). He is Editor-in-chief of the Journal of Physics: Condensed Matter published by the Institute of Physics (UK). Gianfranco Pacchioni is a Fellow of the Accademia Nazionale dei Lincei (2014), the Academia Europaea (2012), and the European Academy of Sciences (2009).