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cond-mat.mtrl-sci2026
Neural RHEED alignment with limited training data during CdTe MBE growth
BartÅomiej Turowski, Jakub J. Meixner, Róża DziewiÄ tkowska +5
We introduce a data-efficient neural-vision assisted method to automate crystallographic alignment during molecular beam epitaxy (MBE) growth. Trained on reflection high-energy ele…
cond-mat.mtrl-sci2024
3D Topological Semimetal Phases of Strained -Sn on Insulating Substrate
Jakub PolaczyÅski, Gauthier Krizman, Alexandr Kazakov +15
-Sn is an elemental topological material, whose topological phases can be tuned by strain and magnetic field. Such tunability offers a substantial potential for topological ele…