Giant-scale physics experiments are increasingly reliant on big data and complex algorithms fed into powerful computers, and managing this multiplying mass of data presents its own unique challenges. To better prepare for this data deluge posed by next-generation upgrades and new experiments, physicists are turning to the fledgling field of quantum computing.
Scientists at Berkeley Lab have revealed how atomic defects emerge in TMDs (transition metal dichalcogenides), and how those defects shape the 2D material’s electronic properties. Their findings could provide a versatile yet targeted platform for designing 2D materials for quantum information science.
Katherine Yelick, the Associate Laboratory Director for Computing Sciences at Berkeley Lab and professor of electrical engineering and computer sciences at UC Berkeley, has been honored by HPCwire as their Editor’s Choice for Outstanding Leadership in high-performance computing.
The event, held simultaneously at ten of the DOE’s National Laboratories, will challenge 105 college teams to defend a simulated energy infrastructure from cyber-attacks. The CyberForce Competition is designed to inspire and develop the next generation of energy sector cybersecurity professionals.
Scientists at Berkeley Lab have designed an affordable ‘flow battery’ membrane that could accelerate renewable energy for the electrical grid.
Scientists at Berkeley Lab have demonstrated how a powerful electron microscopy technique can provide direct insight into the performance of any material – from strong metallic glass to flexible semiconducting films – by pinpointing specific atomic “neighborhoods.”
An international team of scientists that includes Berkeley Lab researchers has announced a breakthrough in its quest to measure the mass of the neutrino, one of the most abundant yet elusive elementary particles in our universe.
A study led by Berkeley Lab has uncovered new insight into how to better control the catalyst cobalt oxide for artificial photosynthesis.
A computer cluster at Berkeley Lab, which switched off last month, since 1996 had served as a steady workhorse in supporting groundbreaking physics research conducted by large collaborations.
Researchers in Berkeley Lab’s Computational Research Division are applying deep learning and analytics to electronic health record (EHR) data to help the Veterans Administration address a host of medical and psychological challenges affecting many of the nation’s 700,000 military veterans.