2 papers
cond-mat.mes-hall2026
Reprogrammable magnonic logic in a multiferroic heterostructure via magnetoelectric coupling
Ping Che, Amr Abdelsamie, Ãdám Papp +14
The realization of fully reconfigurable, voltage-controlled, and programmable on-chip magnonic devices is essential to fully harness the potential of spin waves for signal processi…
cond-mat.dis-nn2025
Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification
Erwan Plouet, Dédalo Sanz-Hernández, Aymeric Vecchiola +2
The ability to process time-series at low energy cost is critical for many applications. Recurrent neural network, which can perform such tasks, are computationally expensive when…