25.8k citations
- Central European Institute of TechnologyCZ145 papers
- Centre National de la Recherche ScientifiqueFR42 papers
- Masaryk UniversityCZ41 papers
- TU WienAT34 papers
- Université Grenoble AlpesFR24 papers
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ22 papers
- University of ViennaAT21 papers
- Charles UniversityCZ17 papers
- Central European Institute of Technology – Masaryk UniversityCZ16 papers
- Kempelen Institute of Intelligent Technologies13 papers
- Laboratoire National des Champs Magnétiques IntensesFR13 papers
- Military University of Technology in WarsawPL13 papers
53 papers · 1 filter
Excitonic complexes in -doped WS monolayer
M. Zinkiewicz, T. Woźniak, T. Kazimierczuk +12
We investigate the origin of emission lines apparent in the low-temperature photoluminescence spectra of -doped WS monolayer embedded in hexagonal BN layers using external m…
Stabilization of cycles for difference equations with a noisy PF control
Elena Braverman, Josef Diblík, Alexandra Rodkina +1
Difference equations, such as a Ricker map, for an increased value of the parameter, experience instability of the positive equilibrium and transition to deterministic chaos. To ac…
Signatures of long range dipolar interactions in artificial square ice
O. Brunn, Y. Perrin, B. Canals +1
Analyzing the magnetic structure factor of a field demagnetized artificial square ice, qualitative deviations from what would predict the square ice model are observed. Combining m…
Engineered magnetization and exchange stiffness in direct-write Co-Fe nanoelements
S. A. Bunyaev, B. Budinska, R. Sachser +10
Media with engineered magnetization are essential building blocks in superconductivity, magnetism and magnon spintronics. However, the established thin-film and lithographic techni…
Atomically sharp domain walls in an antiferromagnet
Filip Krizek, Sonka Reimers, Zdeněk Kašpar +18
The interest in understanding scaling limits of magnetic textures such as domain walls spans the entire field of magnetism from its relativistic quantum fundamentals to application…
Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks
Martin Kolarik, Radim Burget, Kamil Riha
The widespread use of Batch Normalization has enabled training deeper neural networks with more stable and faster results. However, the Batch Normalization works best using large b…