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Michael Sluydts
Michael Sluydts
Ghent University, ePotentia
Verified email at ugent.be - Homepage
Title
Cited by
Cited by
Year
Error estimates for density-functional theory predictions of surface energy and work function
S De Waele, K Lejaeghere, M Sluydts, S Cottenier
Physical Review B 94 (23), 235418, 2016
1322016
Controlling the size of hot injection made nanocrystals by manipulating the diffusion coefficient of the solute
K De Nolf, RK Capek, S Abe, M Sluydts, Y Jang, JC Martins, S Cottenier, ...
Journal of the American Chemical Society 137 (7), 2495-2505, 2015
662015
Ligand Addition Energies and the Stoichiometry of Colloidal Nanocrystals
M Sluydts, K De Nolf, V Van Speybroeck, S Cottenier, Z Hens
ACS nano 10 (1), 1462-1474, 2016
382016
Mechanistic insights in seeded growth synthesis of colloidal core/shell quantum dots
I Nakonechnyi, M Sluydts, Y Justo, J Jasieniak, Z Hens
Chemistry of Materials 29 (11), 4719-4727, 2017
302017
Race against the Machine: can deep learning recognize microstructures as well as the trained human eye?
M Larmuseau, M Sluydts, K Theuwissen, L Duprez, T Dhaene, S Cottenier
Scripta Materialia 193, 33-37, 2021
282021
Compact representations of microstructure images using triplet networks
M Larmuseau, M Sluydts, K Theuwissen, L Duprez, T Dhaene, S Cottenier
npj Computational Materials 6 (1), 156, 2020
212020
High-throughput screening of extrinsic point defect properties in Si and Ge: database and applications
M Sluydts, M Pieters, J Vanhellemont, V Van Speybroeck, S Cottenier
Chemistry of Materials 29 (3), 975-984, 2017
142017
How to verify the precision of density-functional-theory implementations via reproducible and universal workflows
E Bosoni, L Beal, M Bercx, P Blaha, S Blügel, J Bröder, M Callsen, ...
Nature Reviews Physics 6 (1), 45-58, 2024
92024
DFT insights into surface properties of anti-perovskite 3D topological crystalline insulators: A case study of (001) surfaces of Ca3SnO
M Bilal, SM Alay-e-Abbas, M Sluydts, J Batool, A Laref, G Abbas, N Amin
Physics Letters A 408, 127469, 2021
42021
The road to accuracy: machine-learning-accelerated silicon ab initio simulations
M Sluydts, M Larmuseau, J Lauwaert, S Cottenier
arXiv preprint arXiv:1903.10216, 2019
12019
Queue Manager: high-throughput density-functional theory screening software for materials discovery and design
M Sluydts
Ghent University, 2016
2016
Controlling the Size of Hot-Injection Made Nanocrystals by Manipulating the Diffusion Coefficient of the Solute Supporting Information
K De Nolf, RK Capek, S Abe, M Sluydts, Y Jang, JC Martins, S Cottenier, ...
Ligand engineering with colloidal nanocrystals
M Sluydts
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