79 research outputs found
Adiabatic Control of Spin-Wave Propagation using Magnetisation Gradients
Spin waves are of large interest as data carriers for future logic devices.
However, due to the strong anisotropic dispersion relation of dipolar
spin-waves in in-plane magnetised films the realisation of two-dimensional
information transport remains a challenge. Bending of the energy flow is
prohibited since energy and momentum of spin waves cannot be conserved while
changing the direction of wave propagation. Thus, non-linear or non-stationary
mechanisms are usually employed. Here, we propose to use reconfigurable
laser-induced magnetisation gradients to break the system's translational
symmetry. The resulting changes in the magnetisation shift the dispersion
relations locally and allow for operating with different spin-wave modes at the
same frequency. Spin-wave momentum is first transformed via refraction at the
edge of the magnetisation gradient region and then adiabatically modified
inside it. Along these lines the spin-wave propagation direction can be
controlled in a broad frequency range with high efficiency
Perspective on Nanoscaled Magnonic Networks
With the rapid development of artificial intelligence in recent years,
mankind is facing an unprecedented demand for data processing. Today, almost
all data processing is performed using electrons in conventional complementary
metal-oxide-semiconductor (CMOS) circuits. Over the past few decades,
scientists have been searching for faster and more efficient ways to process
data. Now, magnons, the quanta of spin waves, show the potential for higher
efficiency and lower energy consumption in solving some specific problems.
While magnonics remains predominantly in the realm of academia, significant
efforts are being made to explore the scientific and technological challenges
of the field. Numerous proof-of-concept prototypes have already been
successfully developed and tested in laboratories. In this article, we review
the developed magnonic devices and discuss the current challenges in realizing
magnonic circuits based on these building blocks. We look at the application of
spin waves in neuromorphic networks, stochastic and reservoir computing and
discuss the advantages over conventional electronics in these areas. We then
introduce a new powerful tool, inverse design magnonics, which has the
potential to revolutionize the field by enabling the precise design and
optimization of magnonic devices in a short time. Finally, we provide a
theoretical prediction of energy consumption and propose benchmarks for
universal magnonic circuits.Comment: 9 pages, 1 figur
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