NCSA experts help to automate lab processes to make COVID-19 saliva testing more efficient and mobile
NCSA experts help to automate lab processes to make COVID-19 saliva testing more efficient and mobile
Machine learning lets researchers map 1.8 billion trees across an area of more than 500,000 square miles.
A diverse NCSA research team, which includes an Illinois MechSE undergraduate, uses AI and HPC to train a model capable of deploying metamaterial design with topology optimization on laptops that produce accurate and rapid results.
Dive into the groundbreaking research being done on Blue Waters, from astrophysics to biology.
A team from the National Center for Supercomputing Applications (NCSA) used artificial intelligence on XSEDE systems to obtain a correction factor for merger simulations.
A Cornell University researcher taps work he did using NCSA’s Blue Waters supercomputer to fix a problem that’s puzzled researchers for nearly 40 years.
Katelyn Barbaraer, a former Blue Waters Graduate Fellow from the University of North Dakota, is using supercomputers to help the aviation industry better evaluate turbulence
Rommie Amaro, a Blue Waters researcher from UC-San Diego, has used Blue Waters to simulate movement in the viral envelope of the flu virus.
NCSA leads paper in Nature Reviews Physics concerning Big Data and Multi-Messenger Astrophysics
Dr. Weijia Kuang from NASA’s Goddard Space Flight Center is using Blue Waters to gain insights into the inner reaches of the Earth