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cond-mat.mtrl-sci2025
Valley Splittings in Si/SiGe Heterostructures from First Principles
Lukas Cvitkovich, Tancredi Salamone, Christoph Wilhelmer +3
We compute valley splittings in Si/SiGe superlattices using ab initio density functional theory (DFT). This first-principle approach is expected to provide an excellent description…
cond-mat.mtrl-sci2025
Machine Learning Prediction of Magnetic Proximity Effect in van der Waals Heterostructures: From Atoms to Moiré
Lukas Cvitkovich, Klaus Zollner, Jaroslav Fabian
We introduce a machine learning framework that efficiently predicts large-scale proximity-induced magnetism in van der Waals heterostructures, overcoming the high computational cos…
cond-mat.mtrl-sci2024
Machine Learning Force Field for Thermal Oxidation of Silicon
Lukas Cvitkovich, Franz Fehringer, Christoph Wilhelmer +3
Looking back at seven decades of highly extensive application in the semiconductor industry, silicon and its native oxide SiO are still at the heart of several technological de…