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M

M. J. van Setten

Researcher at Université catholique de Louvain

Publications -  10
Citations -  2113

M. J. van Setten is an academic researcher from Université catholique de Louvain. The author has contributed to research in topics: Density functional theory & CZTS. The author has an hindex of 10, co-authored 10 publications receiving 1405 citations. Previous affiliations of M. J. van Setten include Karlsruhe Institute of Technology.

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The PseudoDojo: Training and grading a 85 element optimized norm-conserving pseudopotential table

TL;DR: The PseudoDojo framework for developing and testing full tables of pseudopotentials is presented, and a new table generated with the ONCVPSP approach is demonstrated, leading to new insights into the effects of both the core-valence partitioning and the non-linear core corrections on the stability, convergence, and transferability of norm-conserving pseudopotential.
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Recent developments in the ABINIT software package

TL;DR: The present paper aims to describe the new capabilities of ABINIT that have been developed since 2009, which include new physical and technical features that allow electronic structure calculations impossible to carry out in the previous versions.
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The GW-Method for Quantum Chemistry Applications: Theory and Implementation.

TL;DR: The GW-technology corrects the Kohn-Sham (KS) single particle energies and single particle states for artifacts of the exchange-correlation (XC) functional of the underlying density functional theory (DFT) calculation.
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Quasi-Particle Self-Consistent GW for Molecules.

TL;DR: It is shown that qsGW makes a significant improvement over conventional G0W0 and that partially self-consistent flavors (in particular evGW) can be excellent alternatives.
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Automation methodologies and large-scale validation for G W : Towards high-throughput G W calculations

TL;DR: A method is developed and used to validate the accuracy of G_0W_0 using the PBE starting point, and the Godby-Needs plasmon pole model, on a set of about 80 solids to find correlations between computational parameters that can be used to further improve the automatization ofGW calculations.