Scalable multistate spin orbit torque memory device for hopfield network

In this project, a Hopfield artificial neural network based on a non-volatile solid state multistate spintronics device is developed. The device is driven by the spin orbit torque (SOT) switching mechanism. There is a research gap on the horizontal scalability therefore the project’s objective is to...

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Bibliographic Details
Main Author: Tan, Malvin Yee Phang
Other Authors: Lew Wen Siang
Format: Final Year Project (FYP)
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/76180
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author Tan, Malvin Yee Phang
author2 Lew Wen Siang
author_facet Lew Wen Siang
Tan, Malvin Yee Phang
author_sort Tan, Malvin Yee Phang
collection NTU
description In this project, a Hopfield artificial neural network based on a non-volatile solid state multistate spintronics device is developed. The device is driven by the spin orbit torque (SOT) switching mechanism. There is a research gap on the horizontal scalability therefore the project’s objective is to investigate into the horizontal scalability of a system of SOT devices. The system consists of 10 cartridges where each cartridge holds 10 SOT devices. The cartridges are designed using computer aided design software and produced by a printed circuit board manufacturer. The device is capable of storing multistate memory where each device represents a connectivity weight of the Hopfield model. To read and write onto the device, we will be using a Keithley 2400 as the voltmeter and current source. An Arduino controller board is used to send the command of which one device out of 100 devices to access. An initial characterization of the hysteresis loop of each individual device, once done we will have a system of spintronics memory device that is capable of a Hopfield model operation.
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spelling ntu-10356/761802023-02-28T23:16:00Z Scalable multistate spin orbit torque memory device for hopfield network Tan, Malvin Yee Phang Lew Wen Siang School of Physical and Mathematical Sciences DRNTU::Science::Physics In this project, a Hopfield artificial neural network based on a non-volatile solid state multistate spintronics device is developed. The device is driven by the spin orbit torque (SOT) switching mechanism. There is a research gap on the horizontal scalability therefore the project’s objective is to investigate into the horizontal scalability of a system of SOT devices. The system consists of 10 cartridges where each cartridge holds 10 SOT devices. The cartridges are designed using computer aided design software and produced by a printed circuit board manufacturer. The device is capable of storing multistate memory where each device represents a connectivity weight of the Hopfield model. To read and write onto the device, we will be using a Keithley 2400 as the voltmeter and current source. An Arduino controller board is used to send the command of which one device out of 100 devices to access. An initial characterization of the hysteresis loop of each individual device, once done we will have a system of spintronics memory device that is capable of a Hopfield model operation. Bachelor of Science in Applied Physics 2018-11-22T14:40:24Z 2018-11-22T14:40:24Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/76180 en 27 p. application/pdf
spellingShingle DRNTU::Science::Physics
Tan, Malvin Yee Phang
Scalable multistate spin orbit torque memory device for hopfield network
title Scalable multistate spin orbit torque memory device for hopfield network
title_full Scalable multistate spin orbit torque memory device for hopfield network
title_fullStr Scalable multistate spin orbit torque memory device for hopfield network
title_full_unstemmed Scalable multistate spin orbit torque memory device for hopfield network
title_short Scalable multistate spin orbit torque memory device for hopfield network
title_sort scalable multistate spin orbit torque memory device for hopfield network
topic DRNTU::Science::Physics
url http://hdl.handle.net/10356/76180
work_keys_str_mv AT tanmalvinyeephang scalablemultistatespinorbittorquememorydeviceforhopfieldnetwork