Biologically inspired supercomputer architectures create opportunities and obstacles.
Replacing lab tedium for efficiency, DOE CSGF alumnus Zachary Ulissi and a SLAC-Stanford team taps machine learning to screen for chemicals with promising properties.
The honor recognizes his research on computational materials science and outreach to Africa and Chicago.
Eleven women and nine men make up the incoming DOE CSGF class for 2017. The group's official welcome will take place at the summer program review in Arlington, Virginia.
Researchers turn to DOE supercomputers to study the havoc – and promise – of tiny bubbles.