Community

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

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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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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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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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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3D plot of the creation of a pulse of light

Manipulating the photon number: simulating a controlled interaction of light and matter

“Jordi Blasco and the NeSI Computational Science team enabled us to achieve over 600 times improvement in the speed of the simulation workflow.”
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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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Dr Niki Osborne in the Bloodstain Pattern Analysis lab at the Institute of Environmental Science and Research.

Investigating the reliability of bloodstain pattern analysis

“Without an organisation like NeSI, and the services that they provide, it is unlikely that we would have been able to advance the research methodology to a Bayesian framework."
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