dr. ir. Michael Sluydts
- ORCID iD
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0000-0003-2798-3257
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How to verify the precision of density-functional-theory implementations via reproducible and universal workflows
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Race against the machine : can deep learning recognize microstructures as well as the trained human eye?
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- Journal Article
- A1
- open access
Compact representations of microstructure images using triplet networks
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High-throughput screening of extrinsic point defect properties in Si and Ge : database and applications
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- Journal Article
- A1
- open access
Error estimates for density-functional theory predictions of surface energy and work function
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Queue Manager: high-throughput density-functional theory screening software for materials discovery and design
(2016) -
Ligand Addition Energy and the Stoichiometry of Colloidal Nanocrystals
(2016) -
Ligand addition energies and the stoichiometry of colloidal nanocrystals
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Controlling the size of hot injection made Nanocrystals by manipulating the diffusion coefficient of the solute
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- Conference Paper
- C3
- open access
Controlling the nano-particle size by manipulating the diffusion coefficient of the solute