49 citations · 111 across the 11 of their papers we have counts for
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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…
Non-equilibrium thermodynamics of the longitudinal spin Seebeck effect
Vittorio Basso, Elena Ferraro, Alessandro Magni +3
In this paper we employ non equilibrium thermodynamics of fluxes and forces to describe magnetization and heat transport. By the theory we are able to identify the thermodynamic dr…
Non-equilibrium thermodynamics of the spin Seebeck and spin Peltier effects
Vittorio Basso, Elena Ferraro, Alessandro Magni +3
We study the problem of magnetization and heat currents and their associated thermodynamic forces in a magnetic system by focusing on the magnetization transport in ferromagnetic i…
Thermodynamics of the heat currents in the longitudinal spin Seebeck and spin Peltier effects
Vittorio Basso, Elena Ferraro, Alessandro Magni +3
We employ the non-equilibrium thermodynamics of currents and forces to describe the heat transport caused by a spin current in a Pt/YIG bilayer. By starting from the constitutive e…