Publications (16)
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…
Hysteresis properties at zero temperature in the Dipolar-Random Field Ising Model
Alessandro Magni
We present a modified two-dimensional random field Ising model, where a dipolar interaction term is added to the classic random field Hamiltonian. In a similar model it was already…
Magnetic domain wall curvature effects on the velocity in the creep regime
Adriano Di Pietro, Alessandro Magni, Giovanni Carlotti +8
We study the effect of magnetic domain wall curvature on its dynamics in the creep regime in systems displaying Dzyaloshinskii-Moriya interaction (DMI). We first derive an extended…
Earthquake-like dynamics in ultrathin magnetic film
Gianfranco Durin, Vincenzo Maria Schimmenti, Marco Baiesi +6
We study the motion of a domain wall on an ultrathin magnetic film using the magneto-optical Kerr effect (MOKE). At tiny magnetic fields, the wall creeps only via thermal activatio…
Ground state optimization and hysteretic demagnetization: the random-field Ising model
Mikko J. Alava, Vittorio Basso, Francesca Colaiori +4
We compare the ground state of the random-field Ising model with Gaussian distributed random fields, with its non-equilibrium hysteretic counterpart, the demagnetized state. This i…
Dipolar random field Ising model: an application to garnet films
Alessandro Magni, Gabor Vertesy
The dipolar-random field Ising model (DRFIM) recently introduced displays a behaviour that can be connected to the magnetization of bidimensional magnetic media. Epitaxial magnetic…