nanoparticles have a wide range of applications, from cancer treatment and data
storage to new industrial magnets that can increase the efficiency of
generators and electric motors, see e.g. http://spectrum.ieee.org/semiconductors/nanotechnology/the-incredible-pull-of-nanocomposite-magnets. It is expected that new
advanced magnetic materials will be built bottom-up using nanoparticles as
simulations, we aim to better understand the link between the structural
arrangement of nanoparticles and their collective magnetic properties. To model
the magnetic ordering in nanoparticle structures, we code e.g. in Matlab using
the molecular dynamics scheme, where Newton’s equations are solved for the
magnetic forces that the individual nanoparticle moments are subject to.
In a B.Sc. or
M.Sc. project you will work to determine which magnetic structures are stable
in different configurations of nanoparticles (e.g. ring-shaped configurations).
To do this, your tasks will be to do simulations, hereunder set up the structural
arrangement of nanoparticles (e.g. ordered, disordered), then analyze the
results in order to quantify and optimize properties.
The project will
build upon the material you learned in courses on electromagnetism and solid
state physics, introduce you to the concepts in molecular dynamics simulations,
and increase your proficiency in programming and materials science.
Picture above shows simulations of magnetic ordering in nanoparticle assemblies during field
reversal; colors represent magnetization direction (blue: right; yellow: left),
black bars represent magnetic moment sum. From J. Jordanovic, M. Beleggia, J.
Schiøtz and C. Frandsen, J. Appl. Phys. 118
(2015) 043901 (link http://www.nature.com/articles/srep14536).
DTU Physics (NEXMAP); DTU Cen