Research

Our research is focused on atomistic modelling of magnetic materials and spintroinic devices. We are particularly interested in undestanding the fundamental magnetic properties of devices for practical applications such as magnetic hyperthermia, magnetoresisitive random access memory (MRAM), heat assisted magnetic recording (HAMR), exchange bias and permanent magnets. We also develop vampire, a free and open source software package for performing atomistic spin dynamics simulations.

Research areas

VAMPIRE

VAMPIRE is an advanced software package for performing atomistic spin dynamics simulations.

Magnetic nanoparticles

Nanoparticles display a wide range of complex phenomena with a wdie range of potential applications.

Magnetic RAM

Magnetic Random Access Memory (MRAM) is a new kind of low-power, non-volatile memory technology.

Exchange bias

Exchange bias is a complex effect caused when ferro and antiferromagnets are coupled.

Permanent magnets

Permanent magnets are widely used in hybrid cars and wind turbines due to their energy efficiency.

Heat assisted magnetic recording

HAMR is a next generation magnetic recording technology.

2D Magnetic materials

2D magnetic materials are an exciting class of magnets for spintronics.

Ultrafast magnetism

Ultrafast magnetism is the study of spin dynamics on the sub-picosecond timescale.

Funded research projects

ARCHER eCSE 1307

A project implementing a hierarchical dipole-dipole field calculation to enable spin dynmaics simulations on supercomputers.

Ultrafast spin dynamics in molecular magnets

A project investigating spin dynamics in molecular magnets.

SUPERMAN

A project investigating the magnetic properties of nanoparticles for a new cancer treatment.

FEMTOTERABYTE

A project investigating nanoscale dynamics of ultrafast thermally induced switching.

ARCHER eCSE

A project implementing code improvements to enable spin dynmaics simulations on supercomputers.

Samsung SGMI

A project modelling Magnetic Random Access Memory (MRAM) as a non-volatile memory technology.