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0221U101223,
0119U101609
,
Elements of ultrafast neuron systems on the basis of antiferromagnetic spintronic nanostructures.
Tovstolytkin Oleksandr I., Доктор фізико-математичних наук
18-01-2021
Department for special training National academy of science of Ukraine at Kiev University
Ultrafast logic elements for computational neural systems based on antiferromagnetic Hall spin oscillators operating in the terahertz frequency range have been developed; the physical effects occurring in such systems have been studied, and their electrodynamic characteristics have been studied. It was found that the antiferromagnetic Hall Hall oscillator NiO/ Pt, which is in the subcritical mode, can act as an artificial "neuron", generating delta-like output pulses lasting ~ 4 ps under the action of input pulse signals. It is shown that there are different modes of operation of such a neuron, when under the action of the input pulse no output pulse is generated, one or more output pulses are generated. The constructions of logic elements OR and I on the basis of artificial "neurons" with two inputs and elements M-gate and Q-gate on the basis of artificial "neurons" with three inputs, one of which can be inverted are offered, and by means of methods of numerical modeling dynamic The processes that take place in them, as well as their technical characteristics are calculated. It is shown that by combining the elements of M-gate and Q-gate you can build a complete binary adder based on only three artificial "neurons". The motion of domain walls in ferromagnets near the point of compensation of sublattice spins, when the effects of exchange gain of the wall velocity limit take place, is theoretically investigated. Nonlinear modes of nonstationary wall motion with considerable velocity up to the limit are found. The range of parameters of the magnet in which violation of applicability of the approach of collective variables is possible is revealed. In this area, the movement of the wall is accompanied by the periodic appearance of instability with respect to the growth of spin oscillations within the domain wall.
Ivanov Boris O.
Kravets Anatoliy F
Lytvynenko Yaryna M.
Prokopenko Oleksandr V.
Tovstolytkin Oleksandr I.
2021-01-18
Updated: 2025-12-21
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