Concept
Permeability (electromagnetism)
Related publications (167)
Magnetism of Single Surface Adsorbed Atoms Studied with Radio-Frequency STM
This thesis investigates the magnetic properties of single atoms and molecules adsorbed on thin magnesium oxide decoupling layers, grown on a silver single crystal. To address these systems experimentally, we use a low temperature scanning tunneling micros ...
EPFL2024Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions
Véronique Michaud, Baris Çaglar, Guillaume Clément Broggi
Permeability measurements of engineering textiles exhibit large variability as no standardization method currently exists; numerical permeability prediction is thus an attractive alternative. It has all advantages of virtual material characterization, incl ...
2023Frequency and time domains interactions in nanophotonics
In this thesis, we discuss the problems of scattering and optical manipulation related to nanosystems of different complexities. The multipolar decomposition method is used to represent scattering processes in nanosystems as a series of elementary excitati ...
EPFL2023Magnetic structure of the two-dimensional XY antiferromagnet Sr2CoSi2O7 studied using single-crystal neutron diffraction
We report a combined polarized and unpolarized neutron diffraction study on a multiferroic Sr2CoSi2O7 (SCSO) single crystal below and above the antiferromagnetic ordering temperature TN = 6.5 K. Unpolarized neutron diffraction measurements at 15 K confirm ...
AMER PHYSICAL SOC2023Surface Charge Boundary Condition Often Misused in CO2 Reduction Models
Sophia Haussener, Etienne Boutin, Evan Fair Johnson
The Poisson-Nernst-Planck equations have been used to model species transport in electrochemical CO2 reduction, where the surface charge boundary condition accounts for the potential drop across the Stern layer. A direct comparison of the published models ...
AMER CHEMICAL SOC2023Leveraging Unlabeled Data to Track Memorization
Patrick Thiran, Mahsa Forouzesh, Hanie Sedghi
Deep neural networks may easily memorize noisy labels present in real-world data, which degrades their ability to generalize. It is therefore important to track and evaluate the robustness of models against noisy label memorization. We propose a metric, ca ...
2023Multifunctional Gd2O3:Tm3+, Er3+, Nd3+ particles with luminescent and magnetic properties
Development of novel materials with advanced properties is one of the main research directions of chemistry. New substances are not only crucial for many current technological applications but also should satisfy the needs of tomorrow. Industry often requi ...
2022