NeSI provides a range of services, people, expertise, and information to help computational research projects become reality

Illustration of an electrocardiogram reading.

Hearts aflutter for pacemaker simulation

"This was my first time using the kind of HPC, so the support team helped a lot. I am very grateful for that."
An illustration of atoms latticed together. Image by MasterTux from Pixabay.

Superatom modelling unlocks the next generation of materials

"NeSI allowed us to predict these structures without experimental data. This saved money and hundreds of hours of synthesis time."
Example of a domain decomposition allowing each processor to solve a subpart of the entire problem.

Improving tools to model seismic wave behaviour and predict earthquake impacts

"Simulations used to take 24 hours, now I get results back in 2 hours. It has changed the way I work."

Powering novel approaches to modelling earthquake behaviours

"Not only does the simulation work complete quickly now, but I’ve learnt a lot about the HPCs and sophisticated computational tools which will be necessary for future developments."

Scaling up the analysis of simulations on nanowire stability

"This has helped me to scale up my research capabilities not only with this work, but also with future endeavours too."
Abstract graphic with binary numbers and rectangles.

Picture perfect HPC image analysis

Jingli Lu needed High Performance Computing (HPC) performance for hyperspectral image analysis. She had some HPC knowledge but when problems occurred, NeSI team members jumped in to help integrate new tools and troubleshoot her experience.
A cross-section of rock showing the ice-like gas hydrate embedded within it.

Exploring potential for new energy resources

"I am grateful to the NeSI team for assisting with the compilation of the TOUGH+HYDRATE code for this research."
Horizon view of the ocean with the sun setting in the background

Computing Ocean Flow

"Nemoflux allows new users, unfamiliar with the specific model grid, to dive into model data and tackle their real world science questions."
Image similar to an x-ray showing the synapse networks of the brain.

Using automation to enable faster collection and analysis of MRI data

"The automated data transfer with scheduling and destination setting functions allowed us to send large data out to multiple depositories, allowing streamlined image analysis."