Matches in SemOpenAlex for { <https://semopenalex.org/work/W3163002015> ?p ?o ?g. }
Showing items 1 to 64 of
64
with 100 items per page.
- W3163002015 endingPage "86" @default.
- W3163002015 startingPage "81" @default.
- W3163002015 abstract "This paper discusses the prospects for using magnetic nanostructures as elements of neural networks. At present neural network learning programs are actively used in analyzing and processing large data arrays; however, the development of computer technologies based on the neural network principle still remains open. Possibilities for using magnetic elements as physical carriers of information bits in these systems attract much attention from researchers and technologists due to the presence of several easily controlled parameters (order parameter) in the magnetic system, possibilities for the dimensionality reduction in magnetic elements by using magnetic nanostructures (domain boundaries, vortices, ckyrmions), superquick switching between magnetic states and some other factors. One of the key aspects of research in this regard is to determine basic controlled magnetic parameters in restricted geometries and to identify ways of controlling these parameters through internal and external factors. The paper presents a research on the magnetic ground state in restricted geometries. It deals with the magnetic state rebuilding in the system under changes in both external factors (applied magnetic field, sample dimensions) and internal ones (magnetic anisotropy constant, Dzyaloshinskii-Moriya interaction constant). Calculations were performed within the framework of micromagnetic modelling using the Object Oriented MicroMagnetic Framework ( OOMMF) sogtware. It is shown that the anisotropic exchange interaction (Dzyaloshinskii-Moriya interaction) has a significant effect on the magnetization distribution in restricted geometries. Namely, when changing the value of the Dzyaloshinskii-Moriya constant in the system with uniaxial magnetic anisotropy there is a series of phase transitions observed between magnetic states of different types: transitions from the homogenous magnetic state into the skyrmion-type vortex state (domain structure with the skyrmion-type unidomain state) with subsequent domain structure reversal when changing the value of the Dzyaloshinskii-Moriya constant. In the case of magnetic anisotropy of easy -axis type, chirality and properties of the structures in question do not depend on the constant symbol of the Dzyaloshinskii-Moriya interaction." @default.
- W3163002015 created "2021-05-24" @default.
- W3163002015 creator A5044076291 @default.
- W3163002015 creator A5049095213 @default.
- W3163002015 date "2021-03-30" @default.
- W3163002015 modified "2023-09-25" @default.
- W3163002015 title "MAGNETIC ELEMENTS OF NEURAL NETWORKS. PROPERTIES OF MAGNETIC INHOMOGENEITIES IN RESTRICTED GEOMETRIES" @default.
- W3163002015 doi "https://doi.org/10.31040/2222-8349-2021-0-1-81-86" @default.
- W3163002015 hasPublicationYear "2021" @default.
- W3163002015 type Work @default.
- W3163002015 sameAs 3163002015 @default.
- W3163002015 citedByCount "0" @default.
- W3163002015 crossrefType "journal-article" @default.
- W3163002015 hasAuthorship W3163002015A5044076291 @default.
- W3163002015 hasAuthorship W3163002015A5049095213 @default.
- W3163002015 hasConcept C114614502 @default.
- W3163002015 hasConcept C115260700 @default.
- W3163002015 hasConcept C121332964 @default.
- W3163002015 hasConcept C154945302 @default.
- W3163002015 hasConcept C182260160 @default.
- W3163002015 hasConcept C26873012 @default.
- W3163002015 hasConcept C32546565 @default.
- W3163002015 hasConcept C32938098 @default.
- W3163002015 hasConcept C33923547 @default.
- W3163002015 hasConcept C41008148 @default.
- W3163002015 hasConcept C50644808 @default.
- W3163002015 hasConcept C62520636 @default.
- W3163002015 hasConcept C85725439 @default.
- W3163002015 hasConcept C9930424 @default.
- W3163002015 hasConceptScore W3163002015C114614502 @default.
- W3163002015 hasConceptScore W3163002015C115260700 @default.
- W3163002015 hasConceptScore W3163002015C121332964 @default.
- W3163002015 hasConceptScore W3163002015C154945302 @default.
- W3163002015 hasConceptScore W3163002015C182260160 @default.
- W3163002015 hasConceptScore W3163002015C26873012 @default.
- W3163002015 hasConceptScore W3163002015C32546565 @default.
- W3163002015 hasConceptScore W3163002015C32938098 @default.
- W3163002015 hasConceptScore W3163002015C33923547 @default.
- W3163002015 hasConceptScore W3163002015C41008148 @default.
- W3163002015 hasConceptScore W3163002015C50644808 @default.
- W3163002015 hasConceptScore W3163002015C62520636 @default.
- W3163002015 hasConceptScore W3163002015C85725439 @default.
- W3163002015 hasConceptScore W3163002015C9930424 @default.
- W3163002015 hasIssue "1" @default.
- W3163002015 hasLocation W31630020151 @default.
- W3163002015 hasOpenAccess W3163002015 @default.
- W3163002015 hasPrimaryLocation W31630020151 @default.
- W3163002015 hasRelatedWork W2249348 @default.
- W3163002015 hasRelatedWork W2389591 @default.
- W3163002015 hasRelatedWork W3098315 @default.
- W3163002015 hasRelatedWork W3397413 @default.
- W3163002015 hasRelatedWork W4873809 @default.
- W3163002015 hasRelatedWork W5010017 @default.
- W3163002015 hasRelatedWork W512064 @default.
- W3163002015 hasRelatedWork W603734 @default.
- W3163002015 hasRelatedWork W7381989 @default.
- W3163002015 hasRelatedWork W993417 @default.
- W3163002015 hasVolume "0" @default.
- W3163002015 isParatext "false" @default.
- W3163002015 isRetracted "false" @default.
- W3163002015 magId "3163002015" @default.
- W3163002015 workType "article" @default.