Community

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

Dairy cow

Decoding the bovine genome

"Prompt responses from the NeSI team to our requests helped us solve our problems in a few minutes, which in turn allowed us to focus on scientific research rather than on dealing with technical issues."
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A visualisation of the data used in Dr Aslanyan's research.

Fast cosmology with machine learning

"Our algorithm is designed to take advantage of parallelism. Running the algorithm on many parallel nodes would have been impossible without the NeSI cluster.”
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McLellan Building

Searching for Earth-mass planets around Alpha Centauri

“We were able to calculate radial velocities for all our 50,000 observations within about a week – a task that would have otherwise taken several months of computational time.”
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Victor explains his project to the uninitiated

Quantum trajectories: a story of qubits and photons

Victor Canela is using NeSI to help answer the question: how do we get from A to B, when we don’t even know where B is?
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Quasi-2d Gallium Nanomaterials

Through an extensive series of computational simulations and analysis on NeSI’s Pan and Foster systems, Dr Krista G. Steenbergen and Dr Nicola Gaston have recently unlocked the secret to greater- than-bulk melting of gallium nanoclusters.
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A showcase of global research data initiatives

Several sessions brought together thought and practice from national data services and infrastructures, of particular relevance to the formative National Research Data Programme in New Zealand.
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Software Carpentry in New Zealand: The seed has been planted

NeSI’s training programme lead, Sung Bae, notes “It was overwhelming to witness all 40 seats fully booked within six hours. We noted a strong demand from the humanities and social sciences.”
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Calum Chamberlain servicing the Solution Ranges seismic site above the Landsborough Valley.

Scouring continuous seismic data for Low-Frequency Earthquakes

"As a PhD student close to completion, the speed-up afforded by the NeSI infrastructure and the ease of migration came at a crucial time. Everything was straightforward and well-documented, and the expertise of the technical team was invaluable.”
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Ground-motion simulations of earthquakes in the North Island of New Zealand

“Without NeSI’s supercomputer, we cannot run our simulations with a sufficient resolution.”
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Indomethacin

Predicting druglikeness in new compounds

A Case Study prepared by Daniel Moscoh Ayine-Tora and Jóhannes Reynisson of the School of Chemical Sciences, University of Auckland
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