Community

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

A visualisation of tragectories.

Optimising simulations to improve electronic materials design

"With their support, managing data generation using a Cylc-based approach has been both swift and seamless."
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Stock image of light patterns.

Simulating quantum systems

"By investigating our code and optimising the libraries that we were using, the NeSI consultants sped up components of our code by a factor of 20."
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A picture of someone sitting in a cave in French Polynesia.

Understanding future climate change through the lens of past climates

"The support received from NeSI significantly contributed to our research capabilities and productivity."
Subject: 
Figure: Surface air temperature (deg. K) modelled in the Ross Sea region of Antarctica

Building software solutions for studying air–ice–ocean interactions

"We are very grateful to the NeSI team for helping us to automatically build our coupled model in a container, allowing us to be resilient and circumvent any platform changes/updates."
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Results from ML-based exploration of optical rotation prediction, with the identification of influential dihedral angles highlighted in the molecular structure on the right.

Applying machine learning to uncover molecular property insights

"I appreciate their methodical approach and the computational tools they were able to introduce to the project, which were essential in enabling the research."
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View of the Earth from space, with a binary grid overlaid. Image by Yassay, Pixabay.

Improving the vector field representation in next generation climate simulations

"The benefits are of particular relevance to the regridding of atmospheric data on the globe."
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Photo of stock in a fenced dry area.

New tool revolutionising drought forecasts

“This tool enables us to give more frequent and district-level predictions of rainfall, dryness, and drought. Providing advanced warning of future dry spells will be invaluable.”
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Footbridge damaged by flood, Te Auaunga creek walkway. Auckland 28 January 2023. Photo by Paul Left.

A scalable digital elevation builder for flood mapping

"NeSI is really the only platform for producing our hydrologic condition digital elevation models at the national scale."
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Photo of a riparian strip. Credit Dave Allen, NIWA.

Tools to better understand and address water quality issues

"The team at NeSI worked with us to provide a solution to achieve significant speed-up in legacy R- and FORTRAN-based code for catchment model runs."
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This image depicts a Deep Learning model's prediction of adult Tarāpuka (Black-billed gulls) sitting on nests in a colony. The ground truth is pictured on the left, and the prediction is on the right. Image courtesy of Saif Khan.

Using Deep Learning to detect braided river bird populations

"To be honest, being an ecologist, I was a bit nervous to approach people from advanced data science space. But this fear diminished quickly as all involved in the project was more than ready to understand my needs and was ready to work with my strengths.
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