Spintronic devices for neuromorphic computing
Using Loop Shift Hysteresis principle to discover the efficiency of Spin Orbit Torque in our spintronic devices for neuromorphic computing.
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Nanyang Technological University
2022
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sg-ntu-dr.10356-1567342023-02-28T23:15:10Z Spintronic devices for neuromorphic computing Tay, Jun Wen S.N. Piramanayagam School of Physical and Mathematical Sciences prem@ntu.edu.sg Science::Physics::Electricity and magnetism Using Loop Shift Hysteresis principle to discover the efficiency of Spin Orbit Torque in our spintronic devices for neuromorphic computing. Bachelor of Science in Applied Physics 2022-04-27T01:41:25Z 2022-04-27T01:41:25Z 2022 Final Year Project (FYP) Tay, J. W. (2022). Spintronic devices for neuromorphic computing. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156734 https://hdl.handle.net/10356/156734 en application/pdf Nanyang Technological University |
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Science::Physics::Electricity and magnetism Tay, Jun Wen Spintronic devices for neuromorphic computing |
description |
Using Loop Shift Hysteresis principle to discover the efficiency of Spin Orbit Torque in our spintronic devices for neuromorphic computing. |
author2 |
S.N. Piramanayagam |
author_facet |
S.N. Piramanayagam Tay, Jun Wen |
format |
Final Year Project |
author |
Tay, Jun Wen |
author_sort |
Tay, Jun Wen |
title |
Spintronic devices for neuromorphic computing |
title_short |
Spintronic devices for neuromorphic computing |
title_full |
Spintronic devices for neuromorphic computing |
title_fullStr |
Spintronic devices for neuromorphic computing |
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Spintronic devices for neuromorphic computing |
title_sort |
spintronic devices for neuromorphic computing |
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Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/156734 |
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