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Spin waves to the rescue. Development of a spintronic reservoir computing platform (GRA0326)

Lead Research Organisation: Diamond Light Source
Department Name: CEO's Office

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

10 25 50
 
Description Discoveries:
The work funded through our "Spin waves to the rescue" has led to three ground-breaking key achievements on the road towards a spin wave (SW) based reservoir computing (RC) device: (1) Optimised device design for a SW-RC computing platform (via micromagnetic simulations); (2) Demonstration of the fundamental fabrication steps of an integrated SW-RC device; (3) Demonstration of a surface acoustic wave (SAW) based RC device at radio-frequencies.
Exploitation Route Taken Forward: We are in the process of securing the IP for the principles of wave-based neuromorphic computing, which we have developed during the tenure of the grant. Consequently, we are exploring the formation of a spin-out company with the help of Oxford's OUI and the divisional office.
Sectors Aerospace

Defence and Marine

Digital/Communication/Information Technologies (including Software)

Education

Electronics

Energy

Environment

Healthcare

 
Description The research outlined in this proposal has been focused on developing spin-wave-based reservoir computing (SW-RC) as a new approach to machine learning and computational hardware. The proposed SW-RC device is designed to process data in real-time with high efficiency, making it useful for AI inference tasks, particularly in pattern recognition and classification (e.g., speech recognition). Compared to traditional deep neural networks (DNNs) running on CMOS hardware, SW-RC aims to drastically reduce energy consumption while improving processing speed. The research involves collaboration with industrial partners (e.g., Seagate, Infineon) to integrate spin-wave-based computation into existing semiconductor and memory technologies. This is a longterm goal. The project contributed to the broader field of spintronics, condensed matter physics, and unconventional computing. Findings on spin-wave dynamics and material properties will lead to new advances in quantum computing, signal processing, and neuromorphic engineering.
First Year Of Impact 2024
Sector Aerospace, Defence and Marine,Education,Electronics,Energy,Environment,Healthcare
Impact Types Economic

 
Description MTJ nanofabrication 
Organisation AGH University of Science and Technology
Country Poland 
Sector Academic/University 
PI Contribution Contributions Made: Discussions of the fabrication of magnetic tunnel junction devices, and their magnetotransport measurements.
Collaborator Contribution Partner Contributions: Contributions to the optimization of nanofabrication processes, such as deposition, lithography, and etching; as well as tunnel magnetoresistance measurements.
Impact Resultant Outcomes: Refinement of nanofabrication recipes. Joint publication on MTJ fabrication and study of spin wave propagation with MOKE submitted in February 2024. Second publication on ST-FMR studies under preparation.
Start Year 2023
 
Description Time-resolved spin wave measurements with MOKE 
Organisation University of Exeter
Country United Kingdom 
Sector Academic/University 
PI Contribution Provision of spin wave devices and discussions of spin injection mechanism.
Collaborator Contribution Partner Contributions: Study of spin wave propagation with time-resolved MOKE (paper submitted).
Impact A joint paper on the study of spin wave propagation with time-resolved MOKE has been submitted (February 2024).
Start Year 2022