News Center

Berkeley Lab Opens State-of-the-Art Facility for Computational Science

A new center for advancing computational science and networking at research institutions and universities across the country opened today at Berkeley Lab. Named Wang Hall, the facility will house the National Energy Research Scientific Computing Center (NERSC), one of the world’s leading supercomputing centers for open science, and be the center of operations for DOE’s Energy Sciences Network (ESnet), the fastest network dedicated to science.

Is Your Digital Information More at Risk Today than it was Ten Years Ago?

It’s easy to form the mental image of a hacker hunched over a computer, probing a way to get your personal information, whether to sell it, acquire credit cards in your name or use your health insurance. It does happen, but University of New Mexico researchers, working with Steven Hofmeyr from Berkeley Lab, say it is not happening more frequently than it did a decade ago. Data breaches, in general, are not growing in size.

ESnet’s Science DMZ Breaking Down Barriers, Speeding up Science

From individual universities around the country to a consortium of research institutions stretching the length of the west coast, networking teams are deploying an infrastructure architecture known as the Science DMZ developed by the Department of Energy’s Energy Sciences Network (ESnet ) to help researchers make productive use of ever-increasing data flows.

Most Comprehensive Projections for West Antarctica’s Future Revealed

A new international study is the first to use a high-resolution, large-scale computer model, called Berkeley-ISICLES (BISICLES), to estimate how much ice the West Antarctic Ice Sheet could lose over the next couple of centuries, and how much that could add to sea-level rise. The results paint a clearer picture of West Antarctica’s future than was previously possible.

Berkeley Researchers and Supercomputers to Help Create a Standard 3D Neuron Model

Before scientists can unlock the secrets of the human brain, they must fully understand neurons—the cells of our brain, spinal cord and overall nervous system. Thousands of detailed neuron images, from different organisms, currently sit in individual data collections across the globe, comprising several petabytes of data altogether. Despite this plethora of data, made possible

DOE’s High-Speed Network to Boost Big Data Transfers by Extending 100G Connectivity across Atlantic

The DOE’s Energy Sciences Network (ESnet), managed by Berkeley Lab, is deploying four new high-speed transatlantic links, giving researchers at America’s national laboratories and universities ultra-fast access to scientific data from the Large Hadron Collider (LHC) and other research sites in Europe.

Confirmed: Stellar Behemoth Self-Destructs in a Type IIb Supernova

Wolf-Rayet stars, more than 20 times as massive as the Sun and at least five times as hot, are relatively rare and often obscured. Scientists don’t know much about how they form, live and die.

Berkeley Lab Researchers Create a Nonlinear Light-generating Zero-Index MetaMaterial

Berkeley Lab researchers have used a unique optical metamaterial with zero-index refraction to generate phase mismatch–free nonlinear light, an important step towards efficient light generation for future quantum networks and light sources.

The Last Big Bump Before a Supernova Explodes

The Palomar Transient Factory (PTF) brings together universities, observatories, and one national laboratory to hunt for supernovae and other astronomical objects. At the National Energy Research Scientific Computing Center (NERSC) Berkeley Lab processes and stores the data from PTF’s surveys, which use the Oschin Telescope at Caltech’s Palomar Observatory. On August 25, 2010, PTF’s “autonomous

Another Advance on the Road to Spintronics

Using a new technique called HARPES, for Hard x-ray Angle-Resolved PhotoEmission Spectroscopy, Berkeley Lab researchers have unlocked the ferromagnetic secrets of dilute magnetic semiconductors, materials of great interest for spintronic technology.