Magnetic random access memory – a developing paradigm in data storage

Magnetic Tunnel Junctions (MTJ’s) where an atomically thin insulating barrier – typically MgO – sandwiched between two ferromagnetic layers – CoFeB – acts as a switchable spin filter are at the core of spintronics. Our research involves creating and characterizing prototype MTJs for Spin Transfer Torque – MRAM and for a new class of Spin Torque Oscillator (STO) which can be used to enhance the data storage capacity of hard disk drives and for sensing.

Spin wave phenomena – THz sensing and dedicated Machine Learning devices

Spin dynamics – the high frequency precession of spins in magnetically ordered systems – is one of the fundamental phenomena used in spintronics. The effect is used to determine the underlying properties of materials and devices and is increasingly being explored as a possible route to create dedicated computational elements such as classifiers. Our research covers a range of activities from the generation of THz radiation using the Spin Seebeck and inverse Spin Hall Effect through to frequency enhanced devices based on antiferromagnetic structures.

Skyrmions – new approach to non-von Neumann computing

Magnetic skyrmions are nanoscale magnetic spin configurations with a whirling vortex-like spin structure that behave like quasi-particles and exhibit characteristic topological properties and intriguing dynamics. Their nanoscale size, robustness and ability to move with low electrical current densities, make them excellent candidates for integration in next generation magnetoelectronic devices. Our research includes a range of activities from fundamental topological switching process to using skyrmions for novel non-von Neumann nanocomputing. We take a holistic approach utilizing an array of techniques, from computational studies to developing skyrmionic multilayers and X-ray investigations.

Nanoscale materials for spintronics, data storage and clinical applications – the building blocks

Underpinning the exploration of all new computational, data storage and sensing devices are advanced materials with designer properties. FeRh is fascinating material that changes from an antiferromagnet at room temperature to a ferromagnet at around 100°C. This allows the magnetization to be “switched on” simply by heating. Combining this with other nanoscale magnetic materials provides the building block needed to create new classes of multifunctional spintronic devices .

Graphene based sensors – signals to actionable information

This is a multidisplinary project combining physics, engineering and computer science to build an end to end pipeline from a wearable sensor built out of 2D materials through to a data analysis and diagnostic framework to detect and analyse muscle movement from patients suffering from neurodegenerative diseases.