Projects per year
Organisation profile
Organisation profile
Welcome to the National Computational Infrastructure (NCI). The NCI is home to the Southern Hemisphere’s most highly-integrated supercomputer and filesystems, Australia’s highest performance research cloud, and one of the nation’s largest data catalogues—all supported by an expert team.
NCI is supported by the Australian Government’s National Collaborative Research Infrastructure Strategy, with operational funding provided through a formal collaboration incorporating CSIRO, Bureau of Meteorology, The Australian National University, Geoscience Australia the Australian Research Council, and a number of research intensive universities and medical research institutes.
Visit the National Computational Infrastructure Facility website for further information.
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Dive into the research topics where National Computational Infrastructure is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
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UoM/BioComms GUARDIANS - A National Repository For Human Omics Research Data Connected To Computing Resources
Rohl, A. (CoI)
24/06/25 → 31/12/26
Project: Research
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Building Australia's next-generation ocean-sea ice model
Hogg, A. (PI), Babanin, A. V. (CoI), Bennetts, L. (CoI), Brassington, G. (CoI), England, M. (CoI), Evans, B. (CoI), Griffies, S. M. (CoI), Heil, P. (CoI), Hobbs, W. (CoI), Marsland, S. J. (CoI), Matear, R. J. (CoI), Morrison, A. (CoI), Sandery, P. (CoI), Shakespeare, C. (CoI), Spence, P. (CoI), Toffoli, A. (CoI) & Woodham, R. (CoI)
3/06/21 → 31/12/27
Project: Research
Research output
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Antarctic Bottom Water in a changing climate
Rintoul, S. R., Stewart, A. L., Johnson, G. C., Zhou, S., Foppert, A., Li, Q., Morrison, A. K., Silvano, A., Gunn, K. L., England, M. H., Nihashi, S. & Aoki, S., Feb 2026, In: Nature Reviews Earth and Environment. 7, 2, p. 86-102 17 p.Research output: Contribution to journal › Review article › peer-review
2 Citations (Scopus) -
Automated forward and adjoint modelling of viscoelastic deformation of the solid Earth
Scott, W., Hoggard, M., Duvernay, T., Ghelichkhan, S., Gibson, A., Roberts, D., Kramer, S. & Davies, D. ., 10 Apr 2026, In: Geoscientific Model Development. 19, 7, p. 2717-2745 29 p.Research output: Contribution to journal › Article › peer-review
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Explainable distributional structure of MXene compositions revealed by Shapley analysis
Liu, T. & Barnard, A. S., 1 Jun 2026, In: APL Machine Learning. 4, 2, 15 p., 026112.Research output: Contribution to journal › Article › peer-review
Open Access