Early career scientists from around the world got intensive, hands-on training using supercomputers at the coveted Argonne Training Program on Extreme-Scale Computing.
By embedding machine learning into the design process, ML-GA dramatically speeds up computer-aided virtual prototyping, shrinking the product development phase from a few months to a few days while also bringing down computational costs.
Join Santanu Chaudhuri, Director of Manufacturing Science and Engineering at Argonne and other top experts in discussing the current state of AI application in materials scale-up and manufacturing.
In preparation for National Computer Science Education Week and Hour of Code, Argonne collaborated with Chicago Public Schools to help students learn more about STEM education and careers.
Habib is recognized for “pioneering fundamental physics applications from the smallest to largest scales on three decades of emerging forefront computing platforms.”
The Advanced Scientific Computing Advisory Committee prepared a report describing how the vision and sustained investments of DOE’s Office of Advanced Scientific Computing Research (ASCR) have produced extraordinary scientific and technological impacts.
