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CRUZ DESENTRE SERGI_474069.pdf (805.07 KB)

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Bachelor thesis

Publication date

2020-01

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cc-by-nc-nd (c) Cruz, 2020
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/176435

Spin Torque Nano-Oscillators as candidates for Artificial Neural Networks

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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

Description

Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2020, Tutor: Ferran Macià

Subject

Xarxes neuronals (Informàtica), Circuits nanomètrics, Treballs de fi de grau

Subject (English)

Neural networks (Computer science), Nanometric circuits, Bachelor's theses

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Treballs Finals de Grau (TFG) - Física

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CRUZ DESENTRE, Sergi. Spin Torque Nano-Oscillators as candidates for Artificial Neural Networks. [consulted: 6 of June of 2026]. Available at: https://hdl.handle.net/2445/176435

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