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http://hdl.handle.net/2445/176435
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DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Macià Bros, Ferran | - |
dc.contributor.author | Cruz Desentre, Sergi | - |
dc.date.accessioned | 2021-04-19T12:20:54Z | - |
dc.date.available | 2021-04-19T12:20:54Z | - |
dc.date.issued | 2020-01 | - |
dc.identifier.uri | http://hdl.handle.net/2445/176435 | - |
dc.description | Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: Ferran Macià | ca |
dc.description.abstract | Artificial Neural Networks have been widely used with great success for tasks such as input classification. However, they require considerable computing resources. Spin Torque Nano-Oscillators are nanometric devices capable of converting an spin-polarized current into a magnetic oscillation, through the spin-transfer-torque effect. We show that this devices are capable of non-linear behavior such as synchronization, and that their oscillation can be finely adjusted, making them good candidates for effcient, hardware-built neural networks | ca |
dc.format.extent | 5 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | ca |
dc.rights | cc-by-nc-nd (c) Cruz, 2020 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.source | Treballs Finals de Grau (TFG) - Física | - |
dc.subject.classification | Xarxes neuronals (Informàtica) | cat |
dc.subject.classification | Circuits nanomètrics | cat |
dc.subject.classification | Treballs de fi de grau | cat |
dc.subject.other | Neural networks (Computer science) | eng |
dc.subject.other | Nanometric circuits | eng |
dc.subject.other | Bachelor's theses | eng |
dc.title | Spin Torque Nano-Oscillators as candidates for Artificial Neural Networks | eng |
dc.type | info:eu-repo/semantics/bachelorThesis | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Treballs Finals de Grau (TFG) - Física |
Files in This Item:
File | Description | Size | Format | |
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CRUZ DESENTRE SERGI_474069.pdf | 805.07 kB | Adobe PDF | View/Open |
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