Argonne researchers are mapping the complex tangle of the brain’s connections — a connectome — by developing applications that will find their stride in the advent of exascale computing.
The multifunctionality build into natural systems, such as shells and exoskeletons,may serve as inspiration for the development of new composites for aerospace applications.
Wildfire indices and high-resolution climate models combine to produce a detailed historical analysis of wildfire events across the U.S. and suggest the potential for more severe and frequent fires in the latter half of the century.
Detailed predictive analyses and functional studies show that the VGF protein protects against onset and progression of Alzheimer’s disease, paving the way for future drug discovery efforts
To counter drug resistance Penn State engineers have developed a new approach for predicting which mutation has expanded the most in a population and should be targeted to design the most effective new drug.
With the world’s most powerful path-to-exascale supercomputing resources at their disposal, William Tang and colleagues are combining computer muscle and AI to eliminate disruption of fusion reactions in the production of sustainable clean energy.
DOE laboratories are collaborating on a new high-resolution Earth systems model to predict climate trends into the next century. The model will provide the scientific basis by which to mitigate the effects of extreme climate on energy and other essential services.
Fusion power researchers at TAE Technologies employ Argonne supercomputers to develop magnetic fusion plasma confinement devices as a means to generate unlimited electricity.
While high-energy physics and cosmology seem worlds apart in terms of sheer scale, physicists and cosmologists at Argonne are using similar machine learning methods to address classification problems for both subatomic particles and galaxies.