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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
Appears in Collections:Treballs Finals de Grau (TFG) - Física

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