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.
Combining a first laser pulse to heat up and “drill” through a plasma, and another to accelerate electrons to incredibly high energies in just tens of centimeters, scientists have nearly doubled the previous record for laser-driven particle acceleration at Berkeley Lab’s BELLA Center.
A superfast detector installed on an electron microscope at Berkeley Lab’s Molecular Foundry will reveal atomic-scale details across a larger sample area than could be seen before, and produce movies showing chemistry in action and changes in materials.
Researchers from Berkeley Lab’s Molecular Foundry have designed a dual-purpose material out of a self-assembling MOF (metal-organic framework)-nanocrystal hybrid that could one day be used to store carbon dioxide emissions and to manufacture renewable fuels.
A team of computational scientists and engineers from Berkeley Lab, Oak Ridge National Laboratory, and NVIDIA has been awarded the ACM Gordon Bell Prize for applying an exascale-class deep learning application to extreme climate data and breaking the exaop (1 billion billion calculations) computing barrier for the first time with a deep learning application.
New supercomputer simulations by climate scientists at Lawrence Berkeley National Laboratory have shown that climate change intensified the amount of rainfall in recent hurricanes such as Katrina, Irma, and Maria by 5 to 10 percent. They further found that if those hurricanes were to occur in a future world that is warmer than present, those storms would have even more rainfall and stronger winds.