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A New Generation of Terahertz Emitters: Exploiting Electron Spin


Project Description

Recently, the emission of extremely broadband electromagnetic radiation, spanning from the mid- to far-infrared spectral regime and covering the so-called ‘terahertz gap’ in the spectrum, has been observed from ferromagnetic thin-film structures when exposed to femtosecond pulses of light. Such “spintronic” emitters produce pulses of radiation of similar amplitude to conventional terahertz emitters, but at much greater bandwidths. This exciting discovery has led to potential new routes for the generation of terahertz radiation and offers the ability to control the properties of the radiation emitted. As such, this offers the potential to facilitate a wide range of diverse, technologically demanding scientific applications, from improved medical diagnosis to non-destructive testing and advanced airport security scanners. Furthermore, understanding of the fundamental emission process can help establish new characterisation tools for use in developing the next generation of spintronic devices, where ultrafast spin processes are being investigated for data storage and manipulation.

The aim of this project is to investigate the generation of THz pulses of radiation from spintronic structures to reveal the physics that governs the properties of these remarkable material systems and optimise spin-based structures for the emission of THz radiation. The work is experimental in nature and encompasses a number of areas, such as the fabrication and characterisation of metallic thin-film emitters and the investigation of the THz characteristics of such systems. The project will support a recently awarded UKRI EPSRC-funded project focused on understanding the THz emission process from spintronic structures.

The project will be jointly supervised by the investigators on the project, Dr Paul W Nutter and Prof Tom Thomson (Nano Engineering & Storage Technology Research Group1, School of Computer Science) and Dr Darren Graham (Terahertz Physics Group, Photon Science Institute2, School of Physics and Astronomy). You will make use of a range of state-of-the-art facilities available within the Photon Science Institute and the Centre for Mesoscience & Nanotechnology at the University of Manchester, including leading-edge thin-film deposition systems, magnetic and structural characterisation systems (VSM, XRR) and a range of laser spectroscopic techniques including using femtosecond laser systems to perform ultrafast terahertz spectroscopy.

This work will be carried out in close collaboration with several industrial companies. The opportunity to work in collaboration with both international renowned academics and world-leading industrialists will provide training in cutting-edge experimental physics techniques and business awareness. The skills gained will provide a solid foundation for a future career in industry or academia.

Details of the project will be agreed with the interested candidates to tailor the research to their interests. Applications are sought from highly motivated and resourceful students with a first degree (at least 2:1 or equivalent) in Computer Science, Physics, Electrical & Electronic Engineering or a related subject, who have a keen interest in experimental research. A Masters degree in a relevant subject area is preferable but not essential.

For enquires please contact Dr Paul Nutter () or
Dr Darren Graham ().


Funding Notes

Funding is awarded by the School on a competitive basis, depending on the strength of the applicant. The funding is only available to UK/EU nationals, and it will cover tuition fees and provide a stipend for 3.5 years. Non-EU Students: If you have the correct qualifications and access to your own funding, either from your home country or your own finances, your application to work on this project will be considered.

References

1. http://www.cs.manchester.ac.uk/nest/
2. https://www.psi.manchester.ac.uk/

How good is research at The University of Manchester in Computer Science and Informatics?

FTE Category A staff submitted: 44.86

Research output data provided by the Research Excellence Framework (REF)

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