Lasting two weeks, the rigorous ATPESC program provides participants with invaluable high-performance computing skills and tools that they can later apply to their home institutions and research projects.
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.
Strategies for purifying water abound, but they tend to require lots of energy. Scientists at Argonne are exploring materials that can efficiently use sunlight to concentrate heat right at the water’s surface to produce clean steam for capture.