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
Safeer C
(2024)
Magnetization dynamics driven by displacement currents across a magnetic tunnel junction
in Physical Review Applied
| 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 |
