التفاصيل البيبلوغرافية
| العنوان: |
Spintronic Functional Nanostructures for Artificial Neural Network |
| المؤلفون: |
Lupu, M., Klenov, N., Soloviev, I., Bakurskiy, S., Boian, V.I., Malcoci, C., Prepeliţa, A.A., Prepelitsa, A., Antropov, E.I., Morari, R.A., Sidorenko, A.S. |
| المصدر: |
Electronics, Communications and Computing (Editia 12) |
| سنة النشر: |
2023 |
| الوصف: |
Energy consumption reduction becomes a crucial parameter constraining the advance of supercomputers. The non-von Neumann architectures, first of all ndash; the Artificial Neural Networks ANN based on superconducting spintronic elements, seems to be the most promising solution. Superconducting ANN needs elaboration of two main elements ndash; nonlinear one neuron [1] and linear connecting element synapse [2]. Results of our theoretical and experimental study of the proximity effect in a stack-like superconductor/ferromagnet S/F superlattice with Coferromagnetic layers of different thicknesses and coercive fields, and Nb-superconducting layers of constant thickness equal to coherence length of niobium are presented. Superconducting spin-valves and superconducting synapse, based on layered hybrid S/F nanostructures was designed and investigated. The layered nanostructures Nb/Co demonstrate change of the superconducting order parameter in thin s-films due to switching from the parallel to the antiparallel alignment of neighboring F-layers. We argue that such superlattices can be used as tunable kinetic inductors for ANN synapses design. |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
info:eu-repo/grantAgreement/EC/FP7/17300/EU/Nanostructuri și nanomateriale funcționale pentru industrie și agricultură/20.80009.5007.11; https://ibn.idsi.md/vizualizare_articol/177456 |
| الاتاحة: |
https://ibn.idsi.md/vizualizare_articol/177456 |
| Rights: |
info:eu-repo/semantics/openAccess |
| رقم الانضمام: |
edsbas.98ABCDDF |
| قاعدة البيانات: |
BASE |