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Tiny Distortions in Universe’s Oldest Light Reveal Clearer Picture of Strands in Cosmic Web

Scientists have decoded faint distortions in the patterns of the universe’s earliest light to map huge tubelike structures invisible to our eyes – known as filaments – that serve as superhighways for delivering matter to dense hubs such as galaxy clusters.

COSMIC Impact: Next-Gen X-Ray Microscopy Platform Now Operational

COSMIC, a next-generation X-ray beamline now operating at Berkeley Lab, brings together a unique set of capabilities to measure the properties of materials at the nanoscale. It allows scientists to probe working batteries and other active chemical reactions, and to reveal new details about magnetism and correlated electronic materials.

Calling All Photographers: Participate in Berkeley Lab’s Physics Photowalk Competition on May 16

Berkeley Lab is offering a special tour to photographers on Wednesday, May 16, 2018, in a local event that is part of a Global Physics Photowalk 2018 competition. Follow @BerkeleyLab and #LBNLphotowalk online for updates on the local event.

A Game Changer: Metagenomic Clustering Powered by Supercomputers

A team of researchers from the Department of Energy’s Berkeley Lab and Joint Genome Institute took one of the most popular clustering algorithms in modern biology and modified it to run quickly, efficiently and at scale on distributed-memory supercomputers.

Can Strongly Lensed Type Ia Supernovae Resolve One of Cosmology’s Biggest Controversies?

Astrophysicists at Lawrence Berkeley National Laboratory (Berkeley Lab) and the Institute of Cosmology and Gravitation at the University of Portsmouth in the U.K. say strongly lensed Type Ia supernovae could help resolve a discrepancy in measurements of the universe’s accelerating expansion.

Berkeley Lab ‘Minimalist Machine Learning’ Algorithms Analyze Images From Very Little Data

Berkeley Lab mathematicians have developed a new approach to machine learning aimed at experimental imaging data. Rather than relying on the thousands of images used by typical machine learning methods, this new approach “learns” much more quickly and requires far fewer images.

Berkeley Lab Researchers Contribute to Making Blockchains Even More Robust

Blockchain—a technology used for verifying and recording digital transactions—blasted into public consciousness with the rise of Bitcoin. This tool could also transform the way governments, global industries and even science research operate. In the last few years, a team of researchers has developed a new protocol, called BChain, which makes blockchain even more robust.

Applying Machine Learning to the Universe’s Mysteries

Berkeley Lab physicists and their collaborators have demonstrated that computers are ready to tackle the universe’s greatest mysteries – they used neural networks to perform a deep dive into data simulating the subatomic particle soup that may have existed just microseconds after the big bang.

The Mystery of the Star That Wouldn’t Die

Berkeley Lab and UC Berkeley scientists were part of a team that helped to decipher one of the most bizarre spectacles ever seen in the night sky: A supernova that refused to stop shining, remaining bright far longer than an ordinary stellar explosion. What caused the event is puzzling.

Scientists Solve a Magnesium Mystery in Rechargeable Battery Performance

A Berkeley Lab-led research team has discovered a surprising set of chemical reactions involving magnesium that degrade battery performance even before the battery can be charged up. The findings could steer the design of next-gen batteries.