IRTUM – Institutional Repository of the Technical University of Moldova
Spintronic Functional Nanostructures for Artificial Neural Network
JavaScript is disabled for your browser. Some features of this site may not work without it.
| dc.contributor.author | LUPU, Maria | |
| dc.contributor.author | KLENOV, Nikolai | |
| dc.contributor.author | SOLOVIEV, Igor | |
| dc.contributor.author | BAKURSKIY, Sergey | |
| dc.contributor.author | BOIAN, Vladimir | |
| dc.contributor.author | MALCOCI, Cezar Casian | |
| dc.contributor.author | PREPELITA, Andrei | |
| dc.contributor.author | ANTROPOV, Evgheni | |
| dc.contributor.author | MORARI, Roman | |
| dc.contributor.author | SIDORENKO, Anatolie | |
| dc.date.accessioned | 2022-12-29T13:14:15Z | |
| dc.date.available | 2022-12-29T13:14:15Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | LUPU, Maria, KLENOV, Nikolai, SOLOVIEV, Igor et al. Spintronic Functional Nanostructures for Artificial Neural Network. In: Electronics, Communications and Computing (IC ECCO-2022): 12th intern. conf., 20-21 Oct. 2022, Chişinău, Republica Moldova: conf. proc., Chişinău, 2022, pp. 24-2. | en_US |
| dc.identifier.uri | http://repository.utm.md/handle/5014/21898 | |
| dc.description | Only Abstract | |
| dc.description.abstract | Energy consumption reduction becomes a crucial parameter constraining the advance of supercomputers. The non-von Neumann architectures, first of all – the Artificial Neural Networks (ANN) based on superconducting spintronic elements, seems to be the most promising solution. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Technical University of Moldova | en_US |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
| dc.subject | supercomputers | en_US |
| dc.subject | energy consumption | en_US |
| dc.subject | artificial neural networks | en_US |
| dc.subject | spintronic elements | en_US |
| dc.title | Spintronic Functional Nanostructures for Artificial Neural Network | en_US |
| dc.type | Article | en_US |
Files in this item
The following license files are associated with this item:
This item appears in the following Collection(s)
-
2022
Proceedings of the 12th IC|ECCO; October 20-21, 2022
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States