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.
SHARP: A "Killer App" for Ptychography
New Project Aims to Increase Power Grid Cybersecurity
Liquids and Surfaces Moving in Synergy
Preparing for a Quantum-Classical Computing Future
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.
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.
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.