Main Content Region

Ongoing Research Projects supported by Research IT

Listing of project codes and abstracts, describing work undertaken which use the resources of the compute clusters hosted by the Research IT team.

New codes can be obtained by filling in this resource application form.

Search Results
Showing 10 of 419 Results
Project Title DFT simulations of Cu(111) surface
Project Code HPC_17_00991
Principal Investigator Prof David O'Regan
Start Date 2017-09-19
End Date 2018-09-24
Abstract Experimental images of the Cu(111) surface have been obtained using a scanning tunneling microscope (STM) and a number of interesting features require DFT simulations for further investigation.
Project Title Service Discovery in Smart Cities
Project Code HPC_17_00990
Principal Investigator Professor Siobhan Clarke
Start Date 2017-09-04
End Date 2019-02-28
Abstract In smart cities, a plethora of services are likely to be deployed in large, dynamic, heterogeneous, and distributed environments. Service discovery requirements are likely to be complex with context playing a key role, and human intervention infeasible. Existing research on service discovery has proposed solutions that focus either on semantic methods to improve accuracy, with performance negatively affected, or vice versa. In this scenario, we identify a trade-off between search accuracy and performance in service discovery. We propose a novel approach to address this trade-off by extending both service distribution and discovery processes. Service distribution will use additional semantic information to spread service descriptions at the right urban-places; service discovery will use this model to forward requests where they are more likely to be solved, and to perform service matching using the additional semantic information. This model will respond to city dynamics and citizens' behaviour self-organising the service information distribution according to users requests, and offering services to the citizens according to their surrounding urban-places in a proactive fashion. This approach will be evaluated against current approaches that organise and discover services using network or service properties such as location (e.g., coordinates), service functionalities (e.g., I/O signature) or service domain (e.g., service type). This evaluation will take place in a simulated environment using the Simonstrator platform
Project Title Inversion of Block Tridiagonal Matrices.
Project Code HPC_17_00989
Principal Investigator Prof Stefano Sanvito
Start Date 2017-08-31
End Date 2017-12-25
Abstract A parallel matrix inversion algorithm that has been implemented to be part of a matrix inverse library used by the SMEAGOL ab initio electronic code. SMEAGOL is developed by the computational spintronics group in Trinity College, Dublin. Matrix inversion must be used in order to obtain the Green's function required by the SMEAGOL code. Efficient parallel scaling of the SMEAGOL code requires that the matrix inverse be calculated in parallel. In many cases, only the block tridiagonal part of inverse is needed. This algorithm provides the block tridiagonal subset of the inverse of a sparse non-Hermitian block tridiagonal matrix.
Project Title Random Heusler Alloys
Project Code HPC_17_00988
Principal Investigator Prof Stefano Sanvito
Start Date 2017-08-09
End Date 2017-08-31
Abstract Using VASP software to study the electronic and magnetic structure of random Heusler alloys.
Project Title The application of UAV-mount access points in dense cellular networks
Project Code HPC_17_00987
Principal Investigator Prof Luiz Da Silva
Start Date 2017-07-25
End Date 2018-09-01
Abstract Wireless access points on unmanned aerial vehicles (UAVs) are being considered for mobile service provisioning in commercial networks. To be able to efficiently use these devices in cellular networks it is necessary to first have a qualitative and quantitative understanding of how their design parameters reflect on the service quality experienced by the end user. This research work focuses on setting up scenarios where UAV access points are deployed in urban environments to provide service to users and analysing performance as a function of different parameters of the network.
Project Title Plasmonic waveguide for sub-wavelength light confinement
Project Code HPC_17_00986
Principal Investigator Prof John Donegan
Start Date 2017-07-07
End Date 2017-12-31
Abstract Plasmonic waveguide for sub-wavelength light confinement | We propose channel plasmonic waveguide for nano-focusing. The plasmonic waveguide is a metal-insulator-metal (MIM) structure which is formed with two Gold cladding layers and a dielectric core. This structure can effectively confine the light in the dielectric channel owing to the excited surface plasmon between the metal and dielectric layers.
Project Title Effect of Environmental Stochasticity on Ecosystem Stability
Project Code HPC_17_00985
Principal Investigator Dr. Ian Donohue
Start Date 2017-07-05
End Date 2017-09-30
Abstract How environmental stochasticity will affect the successful predication of ecological process of natural systems is essential for ecosystem management facing unregulated climate change. Ecological stability determines the sustainability of ecological functioning and services, but little is known about its predictability in a stochastic environment. Here we present the first holistic demonstration of how environmental stochasticity regulate the predication of three types of ecological stabilities including variability, resistance, and recovery time, which are of profound conservation applications. Using stochastic models of food webs, we show the huge discrepancy in their predictabilities with environmental stochasticity.
Project Title Role of septal region in the integration of spatial and reward information
Project Code HPC_17_00984
Principal Investigator Dr Marian Tsanov
Start Date 2017-07-04
End Date 2017-08-31
Abstract Hippocampus mediate episodic memory formation but the neurophysiological mechanisms that integrate the spatial and reinforcement components of episodic memories are scarcely understood. The hippocampal system encodes the spatial location within the environment, while the tegmental dopaminergic system mediates the signal processing of rewards. There is, however, limited information about how hippocampal spatial and tegmental reward systems maintain feedback loop to synchronise their activity for place and reward. The lateral septum is the only major non-hippocampal target of hippocampal CA3 area. That makes the septal region a likely locus of integration between reward and spatial information. A Recent study has identified a circuit from area CA3 of dorsal hippocampus to ventral tegmental area (VTA) that uses lateral septum as a relay. However, the functional role of this connection is still unclear. Using electrophysiological recordings from rats performing spatial and reinforcement tasks I plan to identify the signal processing of the space and reward for each septal sub-region. Our optogenetic stimulation design will aim to investigate the role of tegmental dopaminergic inputs on septal neuronal responses and to what degree the optogenetic stimulation regulates the spatial features of septal signal processing
Project Title Investigation of brain structure and connectivity in ASD
Project Code HPC_17_00983
Principal Investigator Prof Louise Gallagher
Start Date 2017-06-27
End Date 2018-09-30
Abstract Autistic spectrum disorders (ASDs) are devastating neurodevelopmental disorders of childhood, characterised by deficits in social interaction, communication and restricted, repetitive patterns of behaviour. Despite unknown aetiology, reports of deficits in functional and structural connectivity lend support to an emerging theory of altered cortical connectivity. In autism, specific structural abnormalities have been described in the frontal lobe, anterior cingulate and parietal cortex. These regions are required for successful attention orienting and set shifting, cognitive functions that are reported to be impaired in ASD which are proposed to contribute to social communication deficits (attention orienting) and restrictive, repetitive behaviours (set shifting) which are characteristic of autism. In this study we hypothesise that specific deficits in attention orienting and set shifting in high functioning autism (HFA) are associated with underlying structural and functional brain abnormalities including abnormal interregional connectivity. We aim to test the abnormal cortical connectivity hypothesis of HFA by using multiple neuroimaging techniques. Specifically we will: • Characterise neuropsychological functions of attention orienting and set shifting in an ASD sample. Investigate differences in brain structure and function between cases and controls, using, voxel-based-morphometry (VBM), diffusion-tensor-imaging (DTI), functional MRI (fMRI) and cortical thickness during attention orienting and set-shifting tasks. • Relate brain activation (function) during task performance analytically to anatomical brain structure to investigate whether abnormalities detected by fMRI correlate with abnormalities detected by structural neuroimaging. • Investigate levels of synchronisation of neural networks activated during these tasks in subjects with HFA compared with controls, using functional connectivity analyses.
Project Title Exploration of the Computational Potential of Kelvin
Project Code HPC_17_00982
Principal Investigator Dr Ruth Britto
Start Date 2017-06-22
End Date 2017-11-01
Abstract In this work, we will perform a preliminary investigation to determine the long-term potential of the Kelvin cluster for higher-loop perturbative calculations.