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http://hdl.handle.net/2445/176435
Title: | Spin Torque Nano-Oscillators as candidates for Artificial Neural Networks |
Author: | Cruz Desentre, Sergi |
Director/Tutor: | Macià Bros, Ferran |
Keywords: | Xarxes neuronals (Informàtica) Circuits nanomètrics Treballs de fi de grau Neural networks (Computer science) Nanometric circuits Bachelor's theses |
Issue Date: | Jan-2020 |
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 |
Note: | Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: Ferran Macià |
URI: | http://hdl.handle.net/2445/176435 |
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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