Michael Sluydts

Materials Science · Physical Sciences

8h-index442citations18works0.52yr avg
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Research Topics

Machine Learning in Materials Science(8), Quantum Dots Synthesis And Properties(5), Chalcogenide Semiconductor Thin Films(4), Copper-based nanomaterials and applications(3), Scientific Computing and Data Management(3)

Publications18 total

The devil in the details: lessons from Li <sub>6</sub> PS <sub>5</sub> X for robust high-throughput workflows
Journal of Materials Chemistry A·2024· 1 citedOpen Access
Author response for "The Devil in the Details: Lessons from Li6PS5Cl for Robust High-Throughput Workflows"
2024
How to verify the precision of density-functional-theory implementations via reproducible and universal workflows
Nature Reviews Physics·2023· 64 citedOpen Access
How to verify the precision of density-functional-theory implementations via reproducible and universal workflows
arXiv (Cornell University)·2023· 5 citedOpen Access
DFT insights into surface properties of anti-perovskite 3D topological crystalline insulators: A case study of (001) surfaces of Ca3SnO
Physics Letters A·2021· 8 cited
Race against the Machine: can deep learning recognize microstructures as well as the trained human eye?
Scripta Materialia·2020· 33 cited
Compact representations of microstructure images using triplet networks
npj Computational Materials·2020· 27 citedOpen Access
The road to accuracy: machine-learning-accelerated silicon ab initio\n simulations
arXiv (Cornell University)·2019Open Access
The road to accuracy: machine-learning-accelerated silicon ab initio simulations
arXiv (Cornell University)·2019Open Access
Mechanistic Insights in Seeded Growth Synthesis of Colloidal Core/Shell Quantum Dots
Chemistry of Materials·2017· 38 citedOpen Access
Error estimates for density-functional theory predictions of surface energy and work function
Physical review. B./Physical review. B·2016· 137 citedOpen Access
High-Throughput Screening of Extrinsic Point Defect Properties in Si and Ge: Database and Applications
Chemistry of Materials·2016· 14 cited
Queue Manager: high-throughput density-functional theory screening software for materials discovery and design
Ghent University Academic Bibliography (Ghent University)·2016
Ligand Addition Energy and the Stoichiometry of Colloidal Nanocrystals
Ghent University Academic Bibliography (Ghent University)·2016
Ligand Addition Energies and the Stoichiometry of Colloidal Nanocrystals
ACS Nano·2015· 42 citedOpen Access
Controlling the Size of Hot Injection Made Nanocrystals by Manipulating the Diffusion Coefficient of the Solute
Journal of the American Chemical Society·2015· 73 cited
Controlling the nano-particle size by manipulating the diffusion coefficient of the solute
Ghent University Academic Bibliography (Ghent University)·2014Open Access
Ab initio modeling of ligand adsorption on colloidal CuInS2 quantum dots
Ghent University Academic Bibliography (Ghent University)·2013Open Access

Frequent Co-authors

Stefaan Cottenier(14), Zeger Hens(6), Kim De Nolf(4), Danny E. P. Vanpoucke(4), Véronique Van Speybroeck(4), Michiel Larmuseau(4), Kurt Lejaeghere(3), Richard Čapek(2), Sofie Abé(2), Young Jin Jang(2), Efrat Lifshitz(2), Emanuele Bosoni(2), Louis Beal(2), Marnik Bercx(2), Peter Blaha(2), J. D. Broder(2), Martin Callsen(2), Augustin Degomme(2), Vladimir Dikan(2), Kristjan Eimre(2)