Publications by authors named "A Mucchietto"

Covalent 2D magnets such as CrTe, which feature self-intercalated magnetic cations located between monolayers of transition-metal dichalcogenide material, offer a unique platform for controlling magnetic order and spin texture, enabling new potential applications for spintronic devices. Here, it is demonstrated that the unconventional anomalous Hall effect (AHE) in CrTe, characterized by additional humps and dips near the coercive field in AHE hysteresis, originates from an intrinsic mechanism dictated by the self-intercalation. This mechanism is distinctly different from previously proposed mechanisms such as topological Hall effect, or two-channel AHE arising from spatial inhomogeneities.

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Nonlinearity of dynamic systems plays a key role in neuromorphic computing, which is expected to reduce the ever-increasing power consumption of machine learning and artificial intelligence applications. For spin waves (magnons), nonlinearity combined with phase coherence is the basis of phenomena like Bose-Einstein condensation, frequency combs, and pattern recognition in neuromorphic computing. Yet, the broadband electrical detection of these phenomena with high-frequency resolution remains a challenge.

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Article Synopsis
  • Spin waves, or magnons, hold potential for advancing neuromorphic computing by addressing limitations of traditional electronic systems and architectures.
  • The study investigates nonvolatile encoding of magnon signals by manipulating the magnetization of variously structured NiFe nanostripes, revealing that closely configured stripes can effectively switch magnetization at low power levels.
  • The findings expand the possibilities for magnon-induced magnetization reversal on yttrium iron garnet (YIG), which is crucial for developing efficient in-memory computing technologies that utilize ultrashort magnons with minimal energy use.
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Magnetic bit writing by short-wave magnons without conversion to the electrical domain is expected to be a game-changer for in-memory computing architectures. Recently, the reversal of nanomagnets by propagating magnons was demonstrated. However, experiments have not yet explored different wavelengths and the nonlinear excitation regime of magnons required for computational tasks.

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Magnons, quanta of spin waves, are known to enable information processing with low power consumption at the nanoscale. So far, however, experimentally realized half-adders, wave-logic, and binary output operations are based on few µm-long spin waves and restricted to one spatial direction. Here, magnons with wavelengths λ down to 50 nm in ferrimagnetic Y Fe O below 2D lattices of periodic and aperiodic ferromagnetic nanopillars are explored.

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