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Bart Vandegehuchte

Researcher at Ghent University

Publications -  30
Citations -  429

Bart Vandegehuchte is an academic researcher from Ghent University. The author has contributed to research in topics: Catalysis & Chemistry. The author has an hindex of 12, co-authored 22 publications receiving 319 citations.

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Evaluating the Risk of C–C Bond Formation during Selective Hydrogenation of Acetylene on Palladium

TL;DR: In this paper, the authors assess the energetic and kinetic aspects of C4 side products formation from the standpoint of computational chemistry and demonstrate that the C-C coupling of common surface species, in particular acetylene, vinylidene, and vinyl, is competitive with selective hydrogenation.
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A Single-Event MicroKinetic model for “ethylbenzene dealkylation/xylene isomerization” on Pt/H-ZSM-5 zeolite catalyst

TL;DR: In this article, the Single Event Microkinetic (SEMK) methodology has been applied towards "ethylbenzene dealkylation/xylene isomerization" under industrially relevant conditions.
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n-Hexadecane hydrocracking Single-Event MicroKinetics on Pt/H-beta

TL;DR: The Single Event MicroKinetic (SEMK) model constructed for gas-phase hydroconversion of light n -alkanes on large-pore USY zeolites was applied, for the first time, to the hydrocracking of n -hexadecane on a Pt/H-Beta catalyst as mentioned in this paper.
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A machine learning approach to graph-theoretical cluster expansions of the energy of adsorbate layers.

TL;DR: It turns out that the best description is obtained as a combination of single molecule patterns and a few coupling terms accounting for lateral interactions for ethylene adsorption on Pd(111), for which the current work adopts machine learning methods to reach this goal.
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Acetylene Adsorption on Pd–Ag Alloys: Evidence for Limited Island Formation and Strong Reverse Segregation from Monte Carlo Simulations

TL;DR: In this article, a detailed Ising-type model Hamiltonian of the (111) surface plane is fitted to extensive density functional theory computations, and the equilibrium distributions under a realistic environment are then evaluated by a Monte Carlo approach as a function of temperature and alloy composition.