2 papers
cond-mat.mtrl-sci2026
Data-Driven Estimation of the interfacial Dzyaloshinskii-Moriya Interaction with Machine Learning
Davi Rodrigues, Andrea Meo, Ali Hasan +8
Machine learning offers powerful tools to support experimental techniques, particularly for extracting latent features from large datasets. In magnetic materials, accurately estima…
cond-mat.mes-hall2026
Twist-Tuned Magnonic Nanocavity Mode in a Trilayer Moiré Superlattice
Tianyu Yang, Gianluca Gubbiotti, Marco Madami +2
The concept of moiré superlattices has recently been introduced into the field of magnonics, enabling unprecedented control over spin-wave propagation and confinement in nanoscale…