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.
NCI is helping researchers from UNSW to delve into the mysteries of fuel combustion to reduce emissions and improve fuel efficiency. "Almost 90% of Australia's total energy production relies on
Professor Kerry Hourigan's team at Monash University are using the NCI supercomputer to develop tools for early detection of heart attacks and strokes. "Cardiovascular disease is a major health
Not much affects the nerves like the high-pitched squealing of car brakes. Fortunately, researchers are using NCI's computational facilities to help design quieter brakes – and save the car industry
ANU chemists have used Raijin to develop a revolutionary new way to manufacture a rare anti-inflammatory drug with potential to treat cancer and malaria. The breakthrough could lead to new and cheaper
The brain is the most complex part of the human body. It's the chair of intelligence, interpreter of the senses, motivator of body movement, and controller of behaviour. Using the latest computing
Professor Tiffany Walsh and her team at Deakin University have developed an application to use nanoparticles in laundry powder to achieve a hot wash outcome at a much lower water temperature. "Washing
Researchers have used Raijin to discover that nano-sized fragments of graphene can speed up the rate of chemical reactions. Assistant Professor Amir Karton from the University of Western Australia
Every nine minutes approximately one Australian is diagnosed with Alzheimer's disease. ARC Future Fellow Associate Professor Aaron Oakley from the University of Wollongong and his team are using
Scientists have used Raijin to solve a long-standing mystery surrounding Australia's only active volcanic area. The 500 kilometre long region stretches from Melbourne to the South Australian town of
Researchers are using NCI facilities to investigate just how accurately a tweeter's geographical location can be predicted from publicly available data. ARC Future Fellow Professor Tim Baldwin and his