Quantum Monte Carlo prerequisites for industrial catalysts. Accurately assessing H atom and H$_2$ physical adsorption energy on Pt(111)
Philip E. Hoggan

TL;DR
This paper uses Quantum Monte Carlo to accurately determine hydrogen adsorption and dissociation energies on Pt(111), providing benchmarks for industrial catalyst reactions with chemical accuracy.
Contribution
It demonstrates the application of state-of-the-art QMC methods to compute hydrogen physisorption and dissociation barriers on Pt(111), with improved pseudo-potential handling and benchmark values.
Findings
Hydrogen dissociation barrier on Pt(111) is 5.4 kcal/mol with QMC.
QMC results agree within 1 kcal/mol of recent SRP-DFT calculations.
Pt pseudo-potentials are less problematic than Cu in QMC calculations.
Abstract
The yardstick of new first-principles approaches to key points on reaction paths at metal surfaces is chemical accuracy compared to reliable experiment. By this we mean that such values as the activation barrier are required to within 1 kcal/mol. Quantum Monte Carlo (QMC) is a promising (albeit lengthy) first-principles method for this and we are now beyond the dawn of QMC benchmarks for these systems, since hydrogen dissociation on Cu(111) has been studied with quite adequate accuracy in two improving QMC studies \cite{hog0, kdd2}. Pt and Cu require the use of pseudo-potentials in these calculations and we show that those of Pt are less problematic than those for Cu, particularly for QMC work. This work determines physisorption energies for hydrogen atoms and molecules on Pt(111). These systems are used as asymptotes to determine reaction barriers. As such, they must be referred to…
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Catalytic Processes in Materials Science · Machine Learning in Materials Science
