Title:
Modeling and design for energy-efficient spintronic logic devices and circuits

dc.contributor.advisor Naeemi, Azad
dc.contributor.author Mousavi Iraei, Rouhollah
dc.contributor.committeeMember Kenney, James
dc.contributor.committeeMember Davis, Jeffrey
dc.contributor.committeeMember First, Phillip
dc.contributor.committeeMember Jiang, Zhigang
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2020-09-08T12:38:08Z
dc.date.available 2020-09-08T12:38:08Z
dc.date.created 2018-08
dc.date.issued 2018-05-09
dc.date.submitted August 2018
dc.date.updated 2020-09-08T12:38:09Z
dc.description.abstract The objective of the proposed research is the modeling and the design of energy-efficient and scalable novel spintronic devices. Over the past two decades, spintronic devices have achieved special status due to their advantages in terms of low-voltage operation, smaller footprint area, non-volatile memory, and compatibility with CMOS technology. To design efficient spin-based systems, researchers require the precise modeling of the physics of nanomagnets, piezoelectrics, thermal noise, and metallic nanowires. Using the models developed during the research, spintronic logic devices comprised of hybrid magnetic and piezoelectric structures are proposed. The delay, energy dissipation, and footprint area of the proposed devices are analyzed. Moreover, the proposed devices are used as building blocks to propose spin-based logic gates, pattern and image recognition circuits, long-range interconnects, interface circuits, and coupled-oscillators. The performance of the proposed circuits is benchmarked against CMOS and other spin-based circuits, which shows improved performance, especially in implementing non-Boolean applications and interface circuits.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/63481
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Spintronic
dc.subject Logic devices
dc.subject Machine learning
dc.subject MRAM
dc.subject All-spin logic device
dc.subject Neural networks
dc.subject Spin-transfer torque
dc.subject Topological insulator
dc.subject Transducer
dc.subject CMOS
dc.subject Spin-Hall effect
dc.subject Magnetostriction
dc.subject Magnetostrictive switching
dc.subject ISHE
dc.subject Inverse Rashba Edelstein Effect
dc.subject Interconnects
dc.subject Benchmarking
dc.subject SPICE
dc.subject Modeling
dc.subject non-Boolean computation
dc.subject Boolean logic
dc.subject Spin current
dc.subject Magnetization switching
dc.subject Thermal noise
dc.subject Oscillators
dc.subject Coupled-oscillator
dc.subject Image recognition
dc.subject Pattern recognition
dc.subject Piezoelectric
dc.title Modeling and design for energy-efficient spintronic logic devices and circuits
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Naeemi, Azad
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 6d1af007-99eb-4893-b4f9-e73991494499
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
MOUSAVIIRAEI-DISSERTATION-2018.pdf
Size:
8.24 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LICENSE.txt
Size:
3.88 KB
Format:
Plain Text
Description: