Please use this identifier to cite or link to this item:
Title: Micromagnetic simulations for spin-based neuromorphic computing
Authors: Tan, Berwin Rui Zhi
Keywords: Science::Physics
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Tan, B. R. Z. (2022). Micromagnetic simulations for spin-based neuromorphic computing. Final Year Project (FYP), Nanyang Technological University, Singapore.
Abstract: Although modern A.I has enabled many new innovations such as voice assistant and facial recognitions, current A.I computers are still a long way from achieving human-like flexibility in problem solving and the ability to learn from unstructured stimuli with energy efficiency comparable to a human brain. Traditional von Neumann computers are highly inefficient at solving unstructured problems and as such, neuromorphic computers which mimic the biological neural network of a human brain have been researched extensively in a bid to create more powerful artificial neuromorphic computing systems that can compete with the human brain in unstructured problem-solving efficiency. Spin-based neuromorphic computing is a promising candidate that has the potential to create high-performance and low powered neuromorphic network. In our model, we make use of domain wall switching to model the Leaky-Integrate-and-Fire neurons. To further explore domain wall based neuromorphic computing, we ran simulations of our spin-based design to observe its Leaky-Integrate functionalities and analysed it suitability for use in neuromorphic computing.
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
PH4415FYP-Tan Rui Zhi Berwin-12 April 22.pdf
  Restricted Access
1.07 MBAdobe PDFView/Open

Page view(s)

Updated on Jun 28, 2022


Updated on Jun 28, 2022

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.