Electromagnetism
Electrostatics and electrodynamics underpin a wide range of experiments, measurements, devices, and theories. We use various computational techniques to study such systems, including photonics, magnonics and micromagnetics.
Figure: current density (cones) and electrostatic potential isolines (black).
For queries about this topic, contact Hans Fangohr.
View the calendar of events relating to this topic.
Projects
Ab initio simulations of chemical reactions on platinum nanoparticles
Chris-Kriton Skylaris (Investigator), Álvaro Ruiz-Serrano, Peter Cherry
•Use first principles calculations to study the relationship between shape and size of nanoparticle and the oxygen adsorption energy.
• Investigate the effect of high oxygen coverage on the catalytic activity of the nanoparticles.
All-Optical Phase Regeneration of Fiber Optic Communication Signals
Peter Horak (Investigator), Graham Hesketh
All-optical phase regeneration uses a process known as four-wave mixing in a nonlinear optical fiber to carefully mix light with a communication signal in such a way that it cancels transmission noise in the the signals phase, increasing the distance over which the signal can be transmitted. New regenerator designs are presented that suppress phase to amplitude noise conversion and performance is simulated using a supercomputer to assist experimental investigation.
Centre for Doctoral Training in Next Generation Computational Modelling
Hans Fangohr, Ian Hawke, Peter Horak (Investigators), Susanne Ufermann Fangohr, Thorsten Wittemeier, Kieran Selvon, Alvaro Perez-Diaz, David Lusher, Ashley Setter, Emanuele Zappia, Hossam Ragheb, Ryan Pepper, Stephen Gow, Jan Kamenik, Paul Chambers, Robert Entwistle, Rory Brown, Joshua Greenhalgh, James Harrison, Jonathon Waters, Ioannis Begleris, Craig Rafter
The £10million Centre for Doctoral Training was launched in November 2013 and is jointly funded by EPSRC, the University of Southampton, and its partners.
The NGCM brings together world-class simulation modelling research activities from across the University of Southampton and hosts a 4-year doctoral training programme that is the first of its kind in the UK.
Chaotic Analysis of Partial Discharge
Paul Lewin (Investigator), Lyuboslav Petrov
The deterministic character of PD pulses predicted by theory has been shown to be existent for certain PD events. Finding characteristic patterns in phase space enables field-data PD detection with high reliability.
Computational electromagnetic modelling of 3D photonic structures
Marc Molinari, Darren Bagnall, Simon Cox (Investigators), Asa Asadollahbaik, Elizabeth Hart
Nano-structured materials can provide very specific and often very special optical effects which can be exploited for a large range of optical applications including wavelength filters, LEDs, micro-lasers, HDTV, solar-cell coatings, optical high-Q fibres, diffraction gratings, polarisation devices, optical switches, etc. This research in “Computational Electromagnetic Modelling of 3D Photonic Structures” aims to address the need for accurate and fast three-dimensional modelling, simulation and analysis processes in the photonics industry. A FEM/FDTD software suite will be developed to simulate Maxwell’s field equations and thin-film quantum effects (plasmons) in the visible and near-infrared EM frequency spectrum. The results obtained from running the software on suitable compute clusters will then be compared to the analysis results of experimentally manufactured materials. We will investigate structures occurring in nature such as iridescent butterfly wings, white/black reflecting beetle shells, etc., and aim to optimise artificially designed structures with periodic, quasi-periodic and random configurations.
Directing magnetic skyrmion traffic flow with nanoscale patterning.
Hans Fangohr (Investigator), Mark Vousden
Skyrmions in magnetic nanostructures may lead to new data storage technologies. Appropriate simulation methodologies are developed and applied.
Dynamics of interacting magnetic nanoparticles
Thomas Fischbacher (Investigator), Maximilian Albert
The project aims at extending the micromagnetic simulation framework 'nmag' developed at the University of Southampton to enable it to handle dynamic geometries. The extended framework will then be used to study systems such as interacting magnetic nanoparticles.
Efficient algorithms for liquid crystal alignment
Giampaolo D'Alessandro, Timothy Sluckin (Investigators)
We have developed an efficient algorithm to determine the liquid crystal alignment in the absence of defects. The aim of this project is to extend this algorithm to include defects.
Investigation into the Interfacial Physics of Field Effect Biosensors
Nicolas Green, Chris-Kriton Skylaris (Investigators), Benjamin Lowe
This interdisciplinary research aims to improve understanding of Field Effect Transistor Biosensors (Bio-FETs) and to work towards a multiscale model which can be used to better understand and predict device response.
Modelling the Combined Effects of Total Ionizing Dose and Random Dopant Fluctuations in sub-100 nm gate-length Transistors
Kees de Groot (Investigator), Eleni Chatzikyriakou
The radiation hardness of state-of-the-art silicon-on-insulator transistors of gate length dimensions of 90 nm and beyond is investigated. The combined effects of oxide charges and random fluctuations of the dopant atoms in silicon are considered. It is demonstrated that a parasitic channel forms at the interface of buried oxide and shallow trench isolation regions of the device and that this effect is aggravated by random dopant fluctuations.
Multimode simulation of high power fibre lasers and amplifiers
Peter Horak (Investigator), Ioannis Begleris
This project aims to address the challenge of ever-increasing demand for higher powers from fibre lasers by developing theoretical and numerical methods to simulate laser pulse amplification in large-mode area fibres supporting multiple spatial modes.
On the applicability of nonlinear timeseries methods for partial discharge analysis
Paul Lewin (Investigator), Lyuboslav Petrov
The governing processes of Partial Discharge (PD)
phenomena trigger aperiodic chains of events resulting in ’ap-
parently’ stochastic data, for which the widely adopted analysis
methodology is of statistical nature. However, it can be shown,
that nonlinear analysis methods can prove more adequate in
detecting certain trends and patterns in complex PD timeseries.
In this work, the application of nonlinear invariants and phase
space methods for PD analysis are discussed and potential pitfalls
are identified. Unsupervised statistical inference techniques based
on the use of surrogate data sets are proposed and employed for
the purpose of testing the applicability of nonlinear algorithms
and methods. The Generalized Hurst Exponent and Lempel Ziv
Complexity are used for finding the location of the system under
test on the spectrum between determinism and stochasticity. The
algorithms are found to have strong classification abilities at
discerning between surrogates and original point series, giving
motivation for further investigations.
Optical Characterisation of Black Silicon for Photovoltaics Using the Finite Element Method
Jack Tyson (Investigator)
Here we present a novel method of simulating the reflectance spectra of black silicon solar cells using the finite element method. Designed in COMSOL Multiphysics is a new set of algorithm-controlled-geometries rendering a vast array of different structural permutations of silicon nanowires. Our model focused on the variation of this geometry within customisable predefined conditions in large output quantities, collated and averaged to reliably determine the reflectance of an entire black silicon solar cell.
Reversal of ferromagnetic nanotubes
Hans Fangohr (Investigator), David Cortes
We are analysing the feasibility of reversing a nano scaled magnetic tube by applying weak pulses of currents through the nano-tube inner core
Self-Force and Black Hole Inspirals
Sam Dolan (Investigator)
We use IRIDIS to compute the self-force acting on a solar-mass black hole orbiting a supermassive black hole.
Simulations of Magnetic Skyrmions
Hans Fangohr (Investigator), Ryan Pepper
The manipulation of magnetic skyrmions could prove to be a useful technique for storing data on an unprecedented density scale. In this project we seek to better understand their properties and ways to control them.
Soft x-ray science on a tabletop
Peter Horak, Jeremy Frey, Bill Brocklesby (Investigators), Patrick Anderson, Arthur Degen-Knifton
Complex numerical simulations are being performed to aid experimentalists at Southampton realize the next generation of high brightness tabletop sources of coherent soft x-rays.?
Stability of chiral structures in magnetic nanodisks
Hans Fangohr, Weiwei Wang (Investigators), David Cortes
This project is aimed to study the stability of skyrmionic and helical equilibrium states in magnetic nanodisks, using computational simulations.
Today's Computation Enabling Tomorrow's Seamless Communication
Lajos Hanzo (Investigator), Varghese Thomas
Radio Over Fibre (ROF) is a communication technique that aims to gainfully amalgamate the benefits of optical and wireless communication, while keeping the system cost low. This technique would support the next generation of wireless services.
People
Professor, Electronics and Computer Science (FPAS)
Professor, Engineering Sciences (FEE)
Professor, Electronics and Computer Science (FPAS)
Professor, Engineering Sciences (FEE)
Professor, Chemistry (FNES)
Professor, Electronics and Computer Science (FPAS)
Professor, Electronics and Computer Science (FPAS)
Professor, Mathematics (FSHS)
Reader, Optoelectronics Research Centre
Reader, Mathematics (FSHS)
Reader, Electronics and Computer Science (FPAS)
Reader, Optoelectronics Research Centre
Lecturer, Optoelectronics Research Centre
Lecturer, Institute of Sound & Vibration Research (FEE)
Lecturer, Mathematics (FSHS)
Lecturer, Engineering Sciences (FEE)
Lecturer, Chemistry (FNES)
Senior Research Fellow, Geography (FSHS)
Senior Research Fellow, Optoelectronics Research Centre
Senior Research Fellow, Biological Sciences (FNES)
Research Fellow, Mathematics (FSHS)
Research Fellow, Engineering Sciences (FEE)
Research Fellow, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Optoelectronics Research Centre
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Civil Engineering & the Environment (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Chemistry (FNES)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Optoelectronics Research Centre
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Chemistry (FNES)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Administrative Staff, Research and Innovation Services
Administrative Staff, Civil Engineering & the Environment (FEE)
Alumnus, University of Southampton
Alumnus, Engineering Sciences (FEE)
Alumnus, University of Southampton
Alumnus, Engineering Sciences (FEE)
Alumnus, Mathematics (FSHS)
Alumnus, Ningbo University
External Member, Imperial College London
External Member, University of Southampton
None, None
None, None