Fortran
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Projects
A Fast Multipole Method for the Bessel potential
Marc Molinari, Simon Cox (Investigators), Neil O'Brien
The fast multipole method (FMM) proposed by Greengard and Rokhlin provides a method by which the O(N-squared) many-body problem can be reduced to O(N) complexity. In this project, a multipole method is developed to calculate the energy of a system of vortices in a high temperature superconductor, where the many-body interactions give rise to rich and complex physics. The method developed here is suitable for systems where the interactions are governed by a Bessel potential rather than the usual logarithmic potentials occurring in gravitational and electrostatic problems. We derive and apply vectorised forms of the Gegenbauer addition formulae in order to achieve the O(N) scaling associated with fast multipole methods.
A Fortran Based Mesh Viewer
Gabriel Amine-Eddine (Investigator)
During my final year as an undergraduate, I developed a fully functional software program for visualising geometry, grid and grid quality for a custom developed CFD software tool. It has and now in use in conjunction with the HARTREE CFD code by some of the other fellow postgrads working in my supervisors team.
Advanced modelling for two-phase reacting flow
Edward Richardson (Investigator)
Engine designers want computer programs to help them invent ways to use less fuel and produce less pollution. This research aims to provide an accurate and practical model for the injection and combustion of liquid fuel blends.
Aerofoil noise
Richard Sandberg (Investigator)
High-performance computing is used to identify noise sources on aerofoils.
B-meson coupling with relativistic heavy quarks
Jonathan Flynn (Investigator), Patrick Fritzsch, Dirk Broemmel
We non-perturbatively compute the coupling between B* and B pi meson states relying on relativistic heavy quarks and domain wall light fermions. The coupling is of importance for an effective description of hadronic heavy meson decays.
Computational Methods for Aircraft Noise Prediction
Gwenael Gabard (Investigator), Albert Prinn
The aim of this project is to develop and test an efficient flow acoustics solver based on the finite element method and the potential flow theory.
Control and Prediction of the Organic Solid State
Richard Boardman
This project aims to produce a computer technology for the prediction of the crystal structure(s) of an organic molecule, that could be used even prior to the synthesis of the compound.
Such a computational study could be done relatively quickly to predict the dangers and opportunities of the solid phases of a molecule under development. Our project will develop the methods of experimental screening for polymorphs and their characterisation, and hence the combination will provide a major new technology for aiding industrial formulation.
Development of a novel Navier-Stokes solver (HiPSTAR)
Richard Sandberg (Investigator)
Development of a highly efficient Navier-Stokes solver for HPC.
Feasibility Study of the Impacts of Proposed Tidal Array Installations in Channel Islands
Luke Blunden (Investigator), William Batten
Open source hydrodynamic modelling software TELEMAC is being used to see whether putting a large number of tidal turbines in the sea near a headland-associated sandbank will affect the feature's long term equilibrium.
Fluid Structure Interactions of Yacht Sails
Stephen Turnock (Investigator), Daniele Trimarchi
The research is the main subject of the PhD topic. It regards the application of fluid structure interaction techniques to the domain of yacht sails simulation
Gravitational waves from neutron stars
Ian Hawke (Investigator)
Gravitational waves, once detected, will give information about the extremes of space and time. Compact objects such as neutron stars are perfect locations for generating such waves.
Hadronic structure on the computer
Jonathan Flynn (Investigator), Dirk Broemmel, Thomas Rae, Ben Samways
In experiments at the Large Hadron Collider (LHC) at CERN, Geneva, the interactions that occur between the colliding particles (protons in this case) can be factorised into a simple scattering between two constituent particles, called quarks, followed by a hadronisation process, which describes the dynamics of forming the bound proton states. Quarks are particles within the proton that bind to form composite particles (hadrons) such as a proton. The scattering process can be computed relatively easily, but hadronisation is intrinsically non-perturbative and hard to calculate. Lattice QCD (computer simulation of QCD on a discrete space-time lattice) provides our only known first-principles and systematically-improvable method to address problems like hadronisation. This project uses Iridis to extract parton distribution amplitudes which are experimentally inaccessible, but needed to describe the quark structure of hadrons.
Is fine-scale turbulence universal?
Richard Sandberg (Investigator)
Complementary numerical simulations and experiments of various canonical flows will try to answer the question whether fine-scale turbulence is universal.
Jet noise
Richard Sandberg (Investigator), Neil Sandham
Direct numerical simulations are used to investigate jet noise.
Laminar to Turbulent Transition in Hypersonic Flows
Neil Sandham, Heinrich Luedeke
Understanding of laminar to turbulent transition in hypersonic boundary-layer flows is crucial for re-entry vehicle design and optimization. The boundary-layer state directly affects the temperatures on the vehicle surface and its viscous drag. Therefore transition has to be considered to correctly compensate for drag and to properly design the thermal protection system.
For the proposed study, in order to obtain a clear understanding of the transition process, the configuration is kept as simple as possible by varying only a minimum number of parameters affecting transition on a simple test geometry such as a swept ramp at different sweep angles. To investigate the influence of such sweep angles on the transition process in the hypersonic regime, Direct Numerical Simulations (DNS) of the turbulent flow field are carried out on the Iridis cluster.
Miscible multiphase systems with phase transition
Andrea Boghi
We aim to develop the computational model for the miscible displacement of liquid occupying a porous bulk, as, for instance, in the processes of vegetable solvent extraction, soil remediation or enhanced oil recovery. All these process includes the dissolution of solute and the displacement of solution from porous media. The focus of our current research work is, therefore, twofold: (i) to develop and verify a theoretical model for an evolving miscible displacement, by taking into account dynamic surface tension and mass diffusion through the interphase boundary, and (ii) to provide a model for the solute/solvent displacement from the porous volume.
Modelling Macro-Nutrient Release & Fate Resulting from Sediment Resuspension in Shelf Seas
Chris Wood
This study involves adapting a previously-published model to take into account the effect resuspension events (both natural and anthropogenic) may have on nutrient dynamics at the sediment-water interface, and hence produce better estimates for the total nutrient budgets for shelf seas.
Molecular Fragments in Inhibitor Design
Jonathan Essex (Investigator), Michael Bodnarchuk
Fragment-Based Drug Discovery (FBDD) has emerged as an important tool in the drug discovery process. Instead of screening entire drug molecules, FBDD screens molecular fragments; constituents which make up drug molecules. A computational approach to identifying fragment binding is currently being sought which also yield binding free energy estimation.
MXL Project
Mark Taylor, Junfen Shi (Investigators)
‘MXL’ is short for “Enhanced patient safety by computational Modelling from clinically available X-rays to minimise the risk of overload and instability for optimised function and Longevity”. This is an international EU-funded project which the Bioengineering Sciences Research Group at Southampton is involved in. For more information, visit http://www.m-x-l.eu
Non-Perturbative Renormalisation on the Lattice
Jonathan Flynn (Investigator), Dirk Broemmel, Thomas Rae
In this project we compute renormalisation factors for various physical observables in a non-perturbative lattice framework. Renormalisation hereby arises due to a fundamental scale dependence of the physical processes.
Numerical Elastic Neutron Stars
Ian Hawke, Ian Jones (Investigators), Andrew Penner
We study the gravitational wave forms that radiate from an asymmetric neutron star using an elasto-hydrodynamic model.
On Simulations investigating drop diameter-charge distributions in electrostatically atomized liquid sprays
Gabriel Amine-Eddine (Investigator), John Shrimpton
Liquid sprays are atomized using electrostatic methods in many scientific, industrial and engineering applications. Due to jet and droplet breakup mechanisms, these spray plumes contain a range of drop diameters with a range of droplet charges. As a result of space charge repulsion forces between droplets, a wide range of inertial characteristics is observed. Past experimental evidence suggests a complex correlation between drop charge and drop diameter. It is suspected that this correlation is based on parameters such as spray specic charge, injection velocity and atomizer orice diameter. Since primary atomization is a strongly non-linear process, with electrical and aerodynamic forces contributing to the atomization process, it is reasonable to suspect a distribution of charge levels across each drop diameter class. Using an transient charged spray CFD code we have performed simulations to investigate standard charge-diameter models for predicting the dynamics of poly-disperse hydrocarbon sprays. Using PDA data from previously published experiments and comparing statistical observations and trends to our simulations, we hope to gain some understanding as to the exact statistical and physical relationship to the drop charge-diameter correlations for electrostatically atomized liquid sprays.
Statistical model of the knee
Mark Taylor (Investigator), Francis Galloway, Prasanth Nair
Development of methods for large scale computational testing of a tibial tray incorporating inter-patient variability.
Stratified combustion physics and modelling
Edward Richardson (Investigator)
Full-resolution simulation data for turbulent combustion are used to investigate the fundamental impact, and practical modelling, of fuel-air stratification.
Study of global instability in separated flows at high Mach number
Neil Sandham, Zhiwei Hu (Investigators), Kangping Zhang
Flow instability is observed when extending two-dimensional (2D) stable flow into three-dimensional (3D). Development of instability varies along different spanwise length. Thresholds are also discovered for the flow studied to become instable.
Supersonic axisymmetric wakes
Richard Sandberg (Investigator)
Direct numerical simulations are used to shed more light on structure formation and evolution in supersonic wakes.
Sustainable domain-specific software generation tools for extremely parallel particle-based simulations
Chris-Kriton Skylaris (Investigator)
A range of particle based methods (PBM) are currently used to simulate materials in chemistry, engineering, physics and biophysics. The 4 types of PBM considered directly in the proposed are molecular dynamics (MD), the ONETEP quantum mechanics-based program, discrete element modelling (DEM), and smoothed particle hydrodynamics (SPH).
The overall research objective is to develop a sustainable tool that will deliver, in the future, cutting edge research applicable to applications ranging from dam engineering to atomistic drug design.
The effect of roughness upon turbulent supersonic flows
Neil Sandham (Investigator), Christopher Tyson
Understanding the interaction between surface roughness and supersonic air flows are crucial in the design of re-entry vehicles such as the space shuttle. Numerical simulations of these flows has been conducted in order to examine the relationship in order to attempt to achieve a much clearer understanding of the behaviour.
The ONETEP project
Chris-Kriton Skylaris (Investigator), Stephen Fox, Chris Pittock, Alvaro Ruiz-Serrano, Jacek Dziedzic
Program for large-scale quantum mechanical simulations of matter from first principles quantum mechanics. Based on theory and algorithms we have developed for linear-scaling density functional theory calculations on parallel computers.
Transition to turbulence in high-speed boundary layers
Neil Sandham (Investigator), Nicola De Tullio
This work is focused on the numerical simulation of hypersonic transition to turbulence in boundary layers. We use direct numerical simulations of the Navier-Stokes equations to analyse the effects of different flow conditions and external disturbances on the transition process. The main objective is to gain insight into the different aspects of transition to turbulence at high speeds, which can lead to the design of new transition models and transition control techniques for high-speed flows.
Vortices in Spinor Bose-Einstein Condensates
Janne Ruostekoski (Investigator), Justin Lovegrove
We numerically study the effect of spin degrees of freedom on the structure of a vortex in a Bose-Einstein Condensate. Such objects are of interest as macroscopic examples of quantum phenomena, as well as for their analogies in other fields, such as cosmology and high energy physics.
Water Molecules in Protein Binding Sites
Jonathan Essex (Investigator), Michael Bodnarchuk
Water molecules are commonplace in protein binding sites, although the true location of them can often be hard to predict from crystallographic methods. We are developing tools which enable the location and affinity of water molecules to be found.
Whisky Code
Ian Hawke (Investigator)
A 3D finite volume code for simulating compact relativistic hydrodynamics.
Wind direction effects on urban flows
Zheng-Tong Xie, Ian Castro (Investigators), Jean Claus
Numerical simulations of turbulent air flow are conducted on Iridis to investigate the effects of different wind directions on the flow within and above an urban-like canopy.
People
Andrew CollinsProfessor, Medicine (FM)
Simon CoxProfessor, Engineering Sciences (FEE)
Jonathan EssexProfessor, Chemistry (FNES)
Jonathan FlynnProfessor, Physics & Astronomy (FPAS)
Carsten GundlachProfessor, Mathematics (FSHS)
Janne RuostekoskiProfessor, Mathematics (FSHS)
Neil SandhamProfessor, Engineering Sciences (FEE)
Mark TaylorProfessor, Engineering Sciences (FEE)
Stephen TurnockProfessor, Engineering Sciences (FEE)
John ShrimptonReader, Engineering Sciences (FEE)
Prasanth NairSenior Lecturer, Engineering Sciences (FEE)
Gwenael GabardLecturer, Institute of Sound & Vibration Research (FEE)
Ian HawkeLecturer, Mathematics (FSHS)
Ian JonesLecturer, Mathematics (FSHS)
Denis KramerLecturer, Engineering Sciences (FEE)
Marc MolinariLecturer, Engineering Sciences (FEE)
Joanna NieldLecturer, Geography (FSHS)
Richard SandbergLecturer, Engineering Sciences (FEE)
Chris-Kriton SkylarisLecturer, Chemistry (FNES)
Anatoliy VorobevLecturer, Engineering Sciences (FEE)
Zheng-Tong XieLecturer, Engineering Sciences (FEE)
Reno ChoiSenior Research Fellow, Geography (FSHS)
Edward RichardsonSenior Research Fellow, Engineering Sciences (FEE)
Rie SugimotoSenior Research Fellow, Institute of Sound & Vibration Research (FEE)
Philip WilliamsonSenior Research Fellow, Biological Sciences (FNES)
William BattenResearch Fellow, Civil Engineering & the Environment (FEE)
Richard BoardmanResearch Fellow, Engineering Sciences (FEE)
Andrea BoghiResearch Fellow, Engineering Sciences (FEE)
Dirk BroemmelResearch Fellow, Physics & Astronomy (FPAS)
Jacek DziedzicResearch Fellow, Chemistry (FNES)
Heinrich LuedekeResearch Fellow, Engineering Sciences (FEE)
Gunnar MallonResearch Fellow, Geography (FSHS)
Andrew PennerResearch Fellow, Mathematics (FSHS)
Erika QuarantaResearch Fellow, Engineering Sciences (FEE)
Gabriel Amine-EddinePostgraduate Research Student, Engineering Sciences (FEE)
Jordi ArranzPostgraduate Research Student, Electronics and Computer Science (FPAS)
Michael BodnarchukPostgraduate Research Student, Chemistry (FNES)
Jean ClausPostgraduate Research Student, Engineering Sciences (FEE)
Nicola De TullioPostgraduate Research Student, Engineering Sciences (FEE)
Aleksander DubasPostgraduate Research Student, Engineering Sciences (FEE)
Stephen FoxPostgraduate Research Student, Chemistry (FNES)
Francis GallowayPostgraduate Research Student, Engineering Sciences (FEE)
Matthew HarrisonPostgraduate Research Student, Civil Engineering & the Environment (FEE)
Quintin HillPostgraduate Research Student, Chemistry (FNES)
Kondwani KanjerePostgraduate Research Student, Engineering Sciences (FEE)
Aditya KarnikPostgraduate Research Student, Engineering Sciences (FEE)
Simon LewisPostgraduate Research Student, Engineering Sciences (FEE)
Justin LovegrovePostgraduate Research Student, Mathematics (FSHS)
John MuddlePostgraduate Research Student, Mathematics (FSHS)
Alkin NasufPostgraduate Research Student, Engineering Sciences (FEE)
Neil O'BrienPostgraduate Research Student, Engineering Sciences (FEE)
Sanjay PantPostgraduate Research Student, Engineering Sciences (FEE)
Chris PittockPostgraduate Research Student, Chemistry (FNES)
Albert PrinnPostgraduate Research Student, Institute of Sound & Vibration Research (FEE)
Thomas RaePostgraduate Research Student, Physics & Astronomy (FPAS)
Watchapon RojanaratanangkulePostgraduate Research Student, Engineering Sciences (FEE)
Alvaro Ruiz-SerranoPostgraduate Research Student, Chemistry (FNES)
Ben SamwaysPostgraduate Research Student, Physics & Astronomy (FPAS)
Chandra SekharPostgraduate Research Student, Engineering Sciences (FEE)
Daniele TrimarchiPostgraduate Research Student, Engineering Sciences (FEE)
Christopher TysonPostgraduate Research Student, Engineering Sciences (FEE)
Chris WoodPostgraduate Research Student, Ocean & Earth Science (FNES)
Kangping ZhangPostgraduate Research Student, Engineering Sciences (FEE)
Elena VatagaTechnical Staff, iSolutions
Petrina ButlerAdministrative Staff, Research and Innovation Services
Moresh WankhedeAlumnus, Rolls-Royce PLC
Ian BushExternal Member, NAG Ltd, Oxford
Shanthi NagarajanExternal Member, Korea Institute of Science and Technology
Luke BlundenNone, None
Ian CastroNone, None
Zhiwei HuNone, None
Junfen ShiNone, None