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Nanoscale Tetrapods Could Provide Early Warning of a Material’s Failure

Light-emitting, four-armed nanocrystals could someday form the basis of an early warning system in structural materials by revealing microscopic cracks that portend failure.

Berkeley Lab to Lead 5 Exascale Projects, Support 6 Others

Scientists at Berkeley Lab will lead or play key roles in developing 11 critical research applications for next-generation supercomputers as part of DOE’s Exascale Computing Project (ECP). The ECP announced Sept. 7 that it has selected 15 application development proposals for full funding—of which Berkeley Lab will lead two and support four others—and seven proposals for “seed” funding, three of which will be led by Berkeley Lab, which will also support two others.

Energy Department to Invest $16 Million in Computer Design of Materials

The U.S. Department of Energy announced today that it will invest $16 million over the next four years to accelerate the design of new materials through use of supercomputers. Two four-year projects—including one team led by Berkeley Lab — will leverage the Lab’s expertise in materials and take advantage of superfast computers at DOE national laboratories to develop software for designing new functional materials to revolutionize applications in alternative and renewable energy, electronics, and more.

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

Some Like it Hot: Simulating Single Particle Excitations

Understanding and manipulating plasmons is important for their potential use in photovoltaics, solar cell water splitting, and sunlight-induced fuel production from CO2. Berkeley Lab researchers have used a real-time numerical algorithm to study both the plasmon and hot carrier within the same framework. That is critical for understanding how long a particle stays excited, and whether there is energy backflow from hot carrier to plasmon.

New Results from World’s Most Sensitive Dark Matter Detector

A new set of calibration techniques employed by LUX scientists has again dramatically improved the detector’s sensitivity.

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.

Newly Discovered ‘Design Rule’ Brings Nature-Inspired Nanostructures One Step Closer

Scientists aspire to build nanostructures that mimic the complexity and function of nature’s proteins, but are made of durable and synthetic materials. These microscopic widgets could be customized into incredibly sensitive chemical detectors or long-lasting catalysts, to name a few possible applications. A discovery by Berkeley Lab scientists is a step in that direction.

New Support for CAMERA to Develop Computational Mathematics for Experimental Facilities Research

With the advent of new technology, scientific facilities are collecting data at increasing rates and higher resolution. However, making sense of this data is becoming a major bottleneck. To address these growing needs, the Department of Energy has announced approval of a grant of $10.5 million over three years to expand the Center for Advanced Mathematics for Energy Research Applications at Berkeley Lab.