News Center

Berkeley Lab Researchers Use Machine Learning to Search Science Data

A team of researchers from Berkeley Lab and UC Berkeley are developing innovative machine learning tools to pull contextual information from scientific datasets and automatically generate metadata tags for each file. Scientists can then search these files via a web-based search engine for scientific data, called Science Search, that the Berkeley team is building.

Software System Award Honors Project Jupyter Team

The team behind Project Jupyter, an effort pioneered by Fernando Pérez, an assistant professor of statistics at UC Berkeley and staff scientist in the Usable Software Systems Group at Berkeley Lab’s Computational Research Division, has been honored with an Association of Computing Machinery Software System Award for developing a tool that has had a lasting influence on computing.

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.

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.

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.

Scientists Decode the Origin of Universe’s Heavy Elements in the Light from a Neutron Star Merger

On Aug. 17, scientists around the globe were treated to near-simultaneous observations by separate instruments that would ultimately be confirmed as the first measurement of the merger of two neutron stars and its explosive aftermath.

International Team Reconstructs Nanoscale Virus Features from Correlations of Scattered X-rays

As part of an international research team Berkeley Lab researchers contributed key algorithms which helped achieve a goal first proposed more than 40 years ago – using angular correlations of X-ray snapshots from non-crystalline molecules to determine the 3D structure of important biological objects.

Assessing Regional Earthquake Risk and Hazards in the Age of Exascale

With emerging exascale supercomputers, researchers will soon be able to accurately simulate the ground motions of regional earthquakes quickly and in unprecedented detail, as well as predict how these movements will impact energy infrastructure—from the electric grid to local power plants—and scientific research facilities.