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Ramamoorthy Ramesh To Lead “Beyond Moore’s Law” Initiative

After serving four years as Berkeley Lab’s Associate Director for Energy Technologies, Ramamoorthy Ramesh will be returning to his research in ultra low-power electronics while also helping to lead a major Berkeley Lab research initiative in next-generation, energy-efficient microelectronics. This new initiative has been dubbed “Beyond Moore’s Law,” as it seeks the solution to what

Berkeley Lab Team Wins Data-Driven Scavenger Hunt for Simulated Nuclear Materials

Competing in a fictitious high-stakes scenario, a group of scientists at Berkeley Lab bested two dozen other teams in a months-long, data-driven scavenger hunt for simulated radioactive materials in a virtual urban environment.

New Simulations Break Down Potential Impact of a Major Quake by Building Location and Size

With unprecedented resolution, scientists and engineers are simulating precisely how a large-magnitude earthquake along the Hayward Fault would affect different locations and buildings across the San Francisco Bay Area.

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.