Mercurial
Mercurial is a cross-platform, distributed revision control tool for software developers. It is mainly implemented using the Python programming language, but includes a binary diff implementation written in C.
Mercurial is primarily a command line program but graphical user interface extensions are available. All of Mercurial's operations are invoked as keyword options to its driver program hg, a reference to the chemical symbol of the element mercury.
Mercurial's major design goals include high performance and scalability, decentralized, fully distributed collaborative development, robust handling of both plain text and binary files, and advanced branching and merging capabilities, while remaining conceptually simple. It includes an integrated web interface. (Read more from Wikipedia.
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Projects
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.
Complexity in Modelling Electric Marine Propulsive Devices
Suleiman Sharkh, Neil Bressloff, Hans Fangohr (Investigators), Aleksander Dubas
This project involves the simulation of turbulent flow around a marine rim-driven thruster and the complex interaction of flow features involved through computational fluid dynamics. Following this, the optimisation of design parameters using computational fluid dynamics to calculate the objective function is performed and surrogate modelling utilised to estimate optimum design configuration.
CRISIS – Complexity Research Initiative for Systemic InstabilitieS
Frank McGroarty (Investigator), Bob De Caux
A new approach to modelling and understanding financial system and macroeconomic risk and instability
Designer 3D Magnetic Mesostructures
Hans Fangohr (Investigator), Matteo Franchin, Andreas Knittel
A new electrodeposition self-assembly method allows for the growth of well defined mesostructures. This project's aim is to use this method in order to fabricate supraconducting and ferromagnetic mesostructures. Numerical methods based on well-established models are used in order to characterise the grown structures.
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.
Fluid Dynamics Optimisation of Rim-Drive Thrusters and Ducted Hydrokinetic Generators
Aleksander Dubas, Suleiman Sharkh (Investigators)
This is a Knowledge Transfer Partnership project is a collaboration between the University of Southampton and TSL Technology Ltd. to develop computational fluid dynamics software design tools for modelling and optimising the design of propeller thrusters and water turbine generators.
Magnetic dynamics under the Landau-Lifshitz-Baryakhtar equation
Hans Fangohr (Investigator), Weiwei Wang
Magnetic dynamics using the Landau-Lifshitz-Baryakhtar (LLBar) equation that the nonlocal damping is included as well as the scalar Gilbert damping.
Magnon-Driven Domain-Wall Dynamics in the presence of Dzyaloshinskii-Moriya Interaction
Hans Fangohr (Investigator), Weiwei Wang
The domain wall motion induced by spin waves (magnons) in the presence of Dzyaloshinskii-Moriya Interaction is studied in this project.
Multiscale Modelling of Cellular Calcium Signalling
Hans Fangohr, Jonathan Essex (Investigators), Dan Mason
Calcium ions play a vitally important role in signal transduction and are key to many cellular processes including muscle contraction and cell apoptosis (cell death). This importance has made calcium an active area in biomedical science and mathematical modelling.
Nmag - computational micromagnetics
Hans Fangohr, Thomas Fischbacher (Investigators), Matteo Franchin, Andreas Knittel, Maximilian Albert, Dmitri Chernyshenko, Massoud Najafi, Richard Boardman
Nmag is a micromagnetic simulation package based on the general purpose multi-physics library nsim. It is developed by the group of Hans Fangohr and Thomas Fischbacher in the School of Engineering Sciences at the University of Southampton and released under the GNU GPL.
Numerical investigation of the true sources of jet noise
Anurag Agarwal (Investigator), Samuel Sinayoko
Aircraft noise severely impacts the quality of life of people living close to airports. Noise generation by aircrafts is especially large during take-off. Jet noise is the dominant noise source during take-off. It is produced by the high speed flow generated by the engine. However, the actual source of sound remains unknown. A deeper understanding of the sources of jet noise is need to be able to reduce the noise. The aim of this project is to implement a innovative method that would allow to identify the sources of jet noise.
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.
Pushing the Envelope of Planetary Formation and Evolution Simulations
Peter Bartram
A full understanding of the formation and the early evolution of the Solar System and extrasolar planetary systems ranks among natural science's grand challenges, and at present, even the dominant processes responsible for generating the observed planetary architecture remain elusive.
Skyrmionic states in confined nanostructures
Hans Fangohr (Investigator), Marijan Beg
An ever increasing need for data storage creates great challenges for the development of high-capacity storage devices that are cheap, fast, reliable, and robust. Because of the fundamental constraints of today's technologies, further progress requires radically different approaches. Magnetic skyrmions are very promising candidates for the development of future low-power, high-capacity, non-volatile data storage devices.
Software Sustainability Institute
Simon Hettrick (Investigator)
A national facility for cultivating world-class research through software
Software helps researchers to enhance their research, and improve the speed and accuracy of their results. The Software Sustainability Institute can help you introduce software into your research or improve the software you already use.
The Institute is based at the universities of Edinburgh, Manchester, Oxford and Southampton, and draws on a team of experts with a breadth of experience in software development, project and programme management, research facilitation, publicity and community engagement.
We help people build better software, and we work with researchers, developers, funders and infrastructure providers to identify key issues and best practice in scientific software.
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.
Test and Rest
Hans Fangohr (Investigator), Evander DaCosta, James Graham, Oliver Laslett
Regression and system testing, automatic execution of testing - establishing best practice.
Water molecules in drug development: can we predict drug affinity when water molecules are involved?
Jonathan Essex (Investigator), Hannah Bruce Macdonald, Christopher Cave-Ayland
Water molecules are often found to be involved in drug-protein binding and can influence the effectiveness of a drug. We aim to aid drug design by calculating the energies involved with complexes of drugs, proteins and water molecules to predict the affinities of drug molecules.
µ-VIS Computed Tomography Centre
Ian Sinclair, Richard Boardman, Dmitry Grinev, Philipp Thurner, Simon Cox, Jeremy Frey, Mark Spearing, Kenji Takeda (Investigators)
A dedicated centre for computed tomography (CT) at Southampton, providing complete support for 3D imaging science, serving Engineering, Biomedical, Environmental and Archaeological Sciences. The centre encompasses five complementary scanning systems supporting resolutions down to 200nm and imaging volumes in excess of one metre: from a matchstick to a tree trunk, from an ant's wing to a gas turbine blade.
People
Professor, Engineering Sciences (FEE)
Professor, Engineering Sciences (FEE)
Professor, Chemistry (FNES)
Professor, Chemistry (FNES)
Professor, Engineering Sciences (FEE)
Professor, Chemistry (FNES)
Professor, Electronics and Computer Science (FPAS)
Professor, Management (FBL)
Professor, Engineering Sciences (FEE)
Professor, Engineering Sciences (FEE)
Professor, Engineering Sciences (FEE)
Reader, Optoelectronics Research Centre
Lecturer, Institute of Sound & Vibration Research (FEE)
Lecturer, Mathematics (FSHS)
Lecturer, Engineering Sciences (FEE)
Senior Research Fellow, Engineering Sciences (FEE)
Research Fellow, Engineering Sciences (FEE)
Research Fellow, Engineering Sciences (FEE)
Research Fellow, Social Sciences (FSHS)
Research Fellow, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, University of Southampton
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Civil Engineering & the Environment (FEE)
Postgraduate Research Student, Chemistry (FNES)
Postgraduate Research Student, Electronics and Computer Science (FPAS)
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, Electronics and Computer Science (FPAS)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
Postgraduate Research Student, Social Sciences (FSHS)
Postgraduate Research Student, Civil Engineering & the Environment (FEE)
Postgraduate Research Student, Engineering Sciences (FEE)
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, 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)
Technical Staff, iSolutions
Administrative Staff, Research and Innovation Services
Administrative Staff, Civil Engineering & the Environment (FEE)
Alumnus, Institute of Sound & Vibration Research (FEE)
Alumnus, University of Southampton
Alumnus, Engineering Sciences (FEE)
Alumnus, Engineering Sciences (FEE)
Alumnus, University of Southampton
Alumnus, Industry
Alumnus, University of Southampton
Alumnus, Arbeitsbereich Technische Informatik Systeme, University of Hamburg, Germany
Alumnus, BMLL
Alumnus, Engineering Sciences (FEE)
Alumnus, Ningbo University
External Member, Imperial College London
External Member, Mauve Internet Ltd.
External Member, University of Southampton
None, None
None, None