News
Summer Students Virtual Poster Showcase Goes Live
Computing Sciences Summer Students invite you to a virtual poster session that opened July 29 and will culminate with live Zoom discussions on Tuesday, August 4. Read More »
New DOE Blueprint to Pave the Way for a Nationwide Quantum Internet
In this Q&A with ESnet Director Inder Monga, he discusses ESnet's role in efforts to build scalable quantum communication networks and what it will take to create the first quantum Internet. Read More »
Spectacular Ultraviolet Flash May Finally Explain How White Dwarfs Explode
For just the second time ever, astrophysicists have spotted a spectacular flash of ultraviolet light in a supernova, an extremely rare event following a white dwarf explosion. Read More »
Supercomputing Pipeline Aids DESI’s Quest to Create 3D Map of the Universe
The Dark Energy Spectroscopic Instrument is combining high-speed automation, high-performance computing, and high-speed networking to produce the largest 3D map of the universe ever created. Read More »
Berkeley Lab’s Sean Peisert named editor-in-chief of IEEE Security and Privacy
CRD's Sean Peisert has been named the new editor-in-chief of the peer-reviewed journal, IEEE Security and Privacy. Read More »
Craig Tull Retires After 38 Years at Berkeley Lab
After 38 years at Berkeley Lab, Craig Tull will retire this month from his role as head of CRD's Physics and X-Ray Science Computing Group. Read More »
After 18 Years, Betsy MacGowan Retires from Berkeley Lab
After 18 years at Berkeley Lab, CSA Safety Coordinator Betsy MacGowan retires this month. Read More »
CRD's Strohmaier Retiring After Nearly 20 Years at Berkeley Lab
CRD's Erich Strohmaier Retiring After Nearly 20 Years at Berkeley Lab Read More »
Reassessing the Global Dataset of Wave Climate Projections
Supercomputing resources at NERSC are helping researchers better understand how global and regional wave conditions may evolve under climate change. Read More »
Can CT Scans Be Used to Quickly and Accurately Diagnose COVID-19?
Berkeley Lab data scientist Daniela Ushizima is exploring whether image recognition algorithms and a data analysis pipeline can help accurately distinguish COVID-19 abnormalities in CT scans and chest X-rays from other overlapping respiratory illnesses. Read More »