Kurt Lejaeghere

Kurt Lejaeghere

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Kurt Lejaeghere

Center for Molecular Modeling (CMM), Ghent University, Ghent, Belgium

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 March 2016 in Science
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Journal Article
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KLKurt Lejaeghere
Kurt Lejaeghere
GBGustav Bihlmayer
Gustav Bihlmayer
TBTorbjörn Björkman
Torbjörn Björkman
PBPeter Blaha
Peter Blaha
SBStefan Blügel
Stefan Blügel
SCStefaan Cottenier
Stefaan Cottenier
A comparison of DFT methods: Density functional theory (DFT) is now routinely used for simulating material properties. Many software packages are available, which makes it challenging to know which are the best to use for a specific calculation. Lejaeghere et al. compared the calculated values for the equation of states for 71 elemental crystals from 15 different widely used DFT codes employing 40 different potentials (see the Perspective by Skylaris). Although there were variations in the calculated values, most recent codes and methods converged toward a single value, with errors comparable to those of experiment. Science , this issue p. 10.1126/science.aad3000 ; see also p. 1394

1 March 2020 in Computer Physics Communications
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Journal Article
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XGXavier Gonze
Xavier Gonze
BABernard Amadon
Bernard Amadon
GAGabriel Antonius
Gabriel Antonius
FAFrédéric Arnardi
Frédéric Arnardi
LBLucas Baguet
Lucas Baguet
JZJosef W. Zwanziger
Josef W. Zwanziger

16 August 2019 in Science
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JSJulian Steele
Julian Steele
HJHandong Jin
Handong Jin
IDIurii Dovgaliuk
Iurii Dovgaliuk
RBRobert F. Berger
Robert F. Berger
TBTom Braeckevelt
Tom Braeckevelt
Maarten RoeffaersMaarten Roeffaers
Maarten Roeffaers
Strain-stabilized perovskites: The perovskite materials used for solar cells and light-emitting diodes (which are black in color) are generally less stable at room temperature than the electronically inactive nonperovskite phases (which are yellow in color). Steele et al. show that for CsPbI 3 , strain induced in a thin film after annealing the material to 330°C and then rapidly cooling it to room temperature kinetically trapped the black phase. Grazing-incidence wide-angle x-ray scattering revealed the crystal distortions and texture formation created by interfacial strain. Science , this issue p. 679

23 October 2013 in Critical Reviews in Solid State and Materials Sciences
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Journal Article
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KLK. Lejaeghere
K. Lejaeghere
VSV. Van Speybroeck
V. Van Speybroeck
GOG. Van Oost
G. Van Oost
SCS. Cottenier
S. Cottenier
Predictions of observable properties by density-functional theory calculations (DFT) are used increasingly often by experimental condensed-matter physicists and materials engineers as data. These predictions are used to analyze recent measurements, or to plan future experiments in a rational way. Increasingly more experimental scientists in these fields therefore face the natural question: what is the expected error for such a first-principles prediction? Information and experience about this question is implicitly available in the computational community, scattered over two decades of literature. The present review aims to summarize and quantify this implicit knowledge. This eventually leads to a practical protocol that allows any scientist—experimental or theoretical—to determine justifiable error estimates for many basic property predictions, without having to perform additional DFT calculations. A central role is played by a large and diverse test set of crystalline solids, containing all ground-state elemental crystals (except most lanthanides). For several properties of each crystal, the difference between DFT results and experimental values is assessed. We discuss trends in these deviations and review explanations suggested in the literature. A prerequisite for such an error analysis is that different implementations of the same first-principles formalism provide the same predictions. Therefore, the reproducibility of predictions across several mainstream methods and codes is discussed too. A quality factor Δ expresses the spread in predictions from two distinct DFT implementations by a single number. To compare the PAW method to the highly accurate APW+lo approach, a code assessment of VASP and GPAW (PAW) with respect to WIEN2k (APW+lo) yields Δ-values of 1.9 and 3.3 meV/atom, respectively. In both cases the PAW potentials recommended by the respective codes have been used. These differences are an order of magnitude smaller than the typical difference with experiment, and therefore predictions by APW+lo and PAW are for practical purposes identical.

29 March 2017 in Chemistry of Materials
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Journal Article
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AVArthur De Vos
Arthur De Vos
KHKevin Hendrickx
Kevin Hendrickx
Pascal Van Der VoortPascal Van Der Voort
Pascal Van Der Voort
VSVeronique Van Speybroeck
Veronique Van Speybroeck
KLKurt Lejaeghere
Kurt Lejaeghere
UiO-66 is a promising metal–organic framework for photocatalytic applications. However, the ligand-to-metal charge transfer of an excited electron is inefficient in the pristine material. Herein, we assess the influence of missing linker defects on the electronic structure of UiO-66 and discuss their ability to improve ligand-to-metal charge transfer. Using a new defect classification system, which is transparent and easily extendable, we identify the most promising photocatalysts by considering both relative stability and electronic structure. We find that the properties of UiO-66 defect structures largely depend on the coordination of the constituent nodes and that the nodes with the strongest local distortions alter the electronic structure most. Defects hence provide an alternative pathway to tune UiO-66 for photocatalytic purposes, besides linker modification and node metal substitution. In addition, the decomposition of MOF properties into node- and linker-based behavior is more generally valid, so we propose orthogonal electronic structure tuning as a paradigm in MOF design.

5 November 2015 in Inorganic Chemistry
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KHKevin Hendrickx
Kevin Hendrickx
DVDanny E. P. Vanpoucke
Danny E. P. Vanpoucke
Karen LeusKaren Leus
Karen Leus
KLKurt Lejaeghere
Kurt Lejaeghere
ADAndy Van Yperen-De Deyne
Andy Van Yperen-De Deyne
KHKaren Hemelsoet
Karen Hemelsoet