Researchers use NCI to advance their work across many different fields of science. Browse our archives for the most exciting research findings from the past nine years of NCI's history.
A team of researchers have discovered a genetic variation that causes the debilitating disease Lupus. The supercomputing and data infrastructure at the National Computational Infrastructure (NCI)
Industrial processes and the combustion of fossil fuels have well-established detrimental impacts on public health and the environment. To help lessen these processes’ contributions to climate change
This research highlight was originally published in NCI's 2020-2021 Annual Report. Professor Ben Corry from The Australian National University received one of five prestigious Australasian Leadership
NCI supports Australian researchers across all of their computational and data needs, from High-Performance Computing (HPC) through to High-Performance Data (HPD) and High-Throughput Computing (HTC)
NCI’s data-intensive services take research data to the next level by bringing to it technologies and expertise that make it more useful and powerful as an input to scientific inquiry. For more than
Astronomy researchers are using Gadi’s scale and performance to test the next generation of their star formation simulations. They are simulating the random motions found in magnetised clouds of
In 2013, Raijin became Australia’s first petaflop supercomputer, a milestone that heralded new possibilities for Australian computational research. It led not just to an increased technical capacity
Quantum computers are poised to become a powerful tool for scientific and industrial computing in coming years. What was for decades a theoretical concept is finally becoming a physical reality
There’s no easy way to test the effect of an earthquake on a building or landscape. The amount of energy is so large and the structures are so complex that computational simulations are the only way
Australian health care is moving towards using genomics for diagnosing and treating rare diseases and cancers. However, the majority of reference datasets currently available feature mostly European