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Researchers Catch Extreme Waves with High-Resolution Modeling

A new Berkeley Lab study shows that high-resolution models captured hurricanes and big waves that low-resolution ones missed. Better extreme wave forecasts are important for coastal cities, the military, the shipping industry, and surfers.

Brain Modulyzer Provides Interactive Window Into the Brain

For the first time, a new tool developed at Berkeley Lab allows researchers to interactively explore the hierarchical processes that happen in the brain when it is resting or performing tasks. Scientists also hope that the tool can shed some light on how neurological diseases like Alzheimer’s spread throughout the brain.

The Incredible Shrinking Particle Accelerator

Particle accelerators are on the verge of transformational breakthroughs—and advances in computing power and techniques are a big part of the reason. Long valued for their role in scientific discovery and in medical and industrial applications such as cancer treatment, food sterilization and drug development, particle accelerators, unfortunately, occupy a lot of space and carry

Berkeley Lab Scientists Part of New Particle-hunting Season at CERN’s LHC

Scientists at Berkeley Lab will be sifting through loads of new data expected from the latest experimental run at CERN’s Large Hadron Collider.

Updated Workflows for New LHC

After a massive upgrade, the Large Hadron Collider (LHC), the world’s most powerful particle collider is now smashing particles at an unprecedented 13 tera-electron-volts (TeV)—nearly double the energy of its previous run from 2010-2012. In just one second, the LHC can now produce up to 1 billion collisions and generate up to 10 gigabytes of

Assessing the Impact of Human-Induced Climate Change

The past century has seen a 0.8°C increase in average global temperature, and according to the IPCC, the overwhelming source of this increase has been emissions of greenhouse gases and other pollutants from human activities. What remains unclear is precisely what fraction of the observed changes in these climate-sensitive systems can confidently be attributed to human-related influences, rather than mere natural regional fluctuations in climate. So Gerrit Hansen of the Potsdam Institute for Climate Impact Research and Dáithí Stone of Berkeley Lab developed and applied a novel methodology for answering this challenging question.

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.

On the Road to Fault-Tolerant Quantum Computing:

An international collaboration at Berkeley Lab’s Advanced Light Source has induced high temperature superconductivity in a toplogical insulator, an important step on the road to fault-tolerant quantum computing.

Berkeley Lab Announces Director’s Awards: Physicist, Big Data Expert Recognized for Lifetime Achievement

The recipients of the Berkeley Lab Director’s Lifetime and Exceptional Achievement Awards have been announced. David Nygren (Physics) and Arie Shoshani (Computational Research) are the recipients of the Berkeley Lab Prize Lifetime Achievement Award. Lifetime Achievement Award winners David Nygren (left) and Arie Shoshani. Nygren was honored for his distinguished development of instrumentation in particle

Models from Big Molecules Captured in a Flash

The structures of most of the two million proteins in the human body are still unknown, even at low resolution. A new algorithm developed by Berkeley Lab scientists solves the convoluted shapes of large molecules by using images of numerous individual samples, all caught simultaneously in a split-second flash of x-rays from a free-electron laser. The technique promises efficient information about the shapes of many more large biological molecules in their native, fluid state.