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SHARP: A "Killer App" for Ptychography

2016 07 sharp1

A revolutionary x-ray imaging technique that combines diffraction and microscopy, has now been coupled with applied mathematics and supercomputing to quickly turn high-throughput "imaging by diffraction" datasets into the sharpest 3D images ever produced. » Read More

New Project Aims to Increase Power Grid Cybersecurity

US power grid1

Cybersecurity experts Jamie Van Randwyk of LLNL and Sean Peisert of Berkeley Lab are leading a new program to develop new data analysis methods to better protect the nation’s power grid. The project is part of a Grid Modernization Initiative launched in January 2016 by the Department of Energy to support research and development in power grid modernization. » Read More

Liquids and Surfaces Moving in Synergy

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Berkeley Lab researchers in the Computing Sciences Division have developed a new mathematical framework that allows researchers to capture fluid dynamics at unprecedented detail. The work could be used in a range of applications, like optimizing the shape of a propeller blade and the ejection of ink droplets in printers. » Read More

Preparing for a Quantum-Classical Computing Future

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Berkeley Lab Alvarez Fellow Jarrod McClean is preparing for a quantum-classical computing future by yoking quantum processors with classical ‪HPC‬ systems into a hybrid computer » Read More

News

2016 07 sharp1

SHARP: A "Killer App" for Ptychography

August 10, 2016

A revolutionary x-ray imaging technique that combines diffraction and microscopy, has now been coupled with applied mathematics and supercomputing to quickly turn high-throughput "imaging by diffraction" datasets into the sharpest 3D images ever produced.

US power grid

Livermore, Berkeley National Labs Leading Project to Increase Power Grid Cybersecurity

July 12, 2016

Cybersecurity experts Jamie Van Randwyk of Lawrence Livermore National Laboratory (LLNL) and Sean Peisert of Lawrence Berkeley National Laboratory (Berkeley Lab) are leading a new program to develop new data analysis methods to better protect the nation’s power grid. The project, “Threat Detection and Response with Data Analytics,” is part of DOE's $220 million, three-year Grid Modernization Initiative.


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Models Help Pinpoint Material for Better Nuclear Fuel Recycling

June 13, 2016

Researchers are investigating a new material that uses pores to screen out and capture for reuse the xenon and krypton gases released during nuclear fuel reprocessing. This metal organic framework (MOF) has the potential to save energy, make reprocessing cleaner and less expensive.

saye water

New Mathematics Accurately Captures Liquids and Surfaces Moving in Synergy

June 10, 2016

Berkeley Lab researchers in the Computing Sciences Division have developed a new mathematical framework that allows researchers to capture fluid dynamics at unprecedented detail. The work could be used in a range of applications, like optimizing the shape of a propeller blade and the ejection of ink droplets in printers.