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Our Research Stories

University of Adelaide researchers are using High Performance Computing across several disciplines to solve or understand some of the challenges of our time.

Wind Energy Research

The Wind Energy Research group use computational fluid dynamics to analyse the wake flow and noise generation of wind turbines. The team then uses Phoenix to develop models predicting wake development. This research enables wind farm designers and decision makers to optimise wind farm layout for maximum generation of clean energy.

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Wave Energy Research

The Wave Energy Research Group has been able to run simulations and modelling on wave energy technologies on a larger scale through tandem use of the Phoenix service and practical experimentation. This has allowed members of the group to develop real life solutions such as buoys and power-take-off systems to explore the optimal designs for wave energy generation.

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Bioinformatics Genomic Study

Using publicly available data from the National Center for Biotechnology Information (NCBI) on genomes across the animal and plant kingdom, along with the Phoenix service, Atma Ivancevic and her team have been able to upscale and streamline large-scale genomic analyses. This has enabled them to trace the evolution of a particular element in the genetic makeup of animals and plants which is known to disrupt genes and cause diseases such as cancer. The use of Phoenix resources reduced over two years’ worth of analysis to less than six months, and has significantly advanced the team’s research.

Visit the Bioinformatics Hub

Stochastic Modelling of Disease Spread

Researchers from the School of Mathematical Sciences use stochastic modelling to understand and forecast the spread of epidemics throughout society. Robert Cope and collaborators have used data from the Australian Sentinel Practices Research Network (ASPREN) to investigate the seasonal dynamics of influenza in Australian cities. The Phoenix technology has enabled them to work at large scales generating and testing models more efficiently and quickly, which has in turn enabled the science to progress faster and further.

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Swarm Intelligence Behavioural Modelling

Jerome Buhl's team combines lab and field experiments with innovative methods such as field robotics, miniature transponders and GPGPU parallel computing to study how animal swarm intelligence in insects emerges from a myriad of simple behaviour and interactions at the individual level. Phoenix has made it possible to simulate groups and populations of millions of individuals, where previously it was only possible to study thousands, allowing the team to run simulations in less than a month which would previously have taken them 1 to 2 years.

Visit Jerome's website

Theoretical Nuclear and Particle Physics

The Centre for Subatomic Structure of Matter uses High Performance Computing to process data from the European Organization for Nuclear Research (CERN) to seek answers to the big questions like ‘what is the universe made of?’ and ‘how did it start?’.

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Wave Energy Production

Researchers from the Centre for Energy Technology are using High Performance computing as part of their research focusing on optimising wave turbines in the generation of clean energy.

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Machine Learning

The Australian Centre for Visual Technologies uses High Performance Computing to create machine learning related to image searching. They have recently beaten Google in an image detection competition (ImageNet Detection) locating images in a controlled database.

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