Science and Technology Highlights
New work by computer scientists at Livermore and IBM Research on deep learning models to accurately diagnose diseases from x-ray images won the Best Paper award for Computer-Aided Diagnosis at the SPIE Medical Imaging Conference.
Livermore scientists have achieved a near 100 percent increase in the amount of antimatter created in the laboratory.
According to a Livermore report, California will need to both intensify efforts in emission reduction measures and technologies that are already underway and deploy technologies that dramatically reduce existing emissions.
The Laboratory has launched the new Space Science Institute, intended to boost cross-discipline collaboration and discovery.
Researchers gain new insights into why small eviations from perfect spherical symmetry can lead to significant distortions of the implosion and ultimately degrade inertial confinement (ICF) fusion performance.
Livermore researchers report on a new mechanism of solidification in copper that alters the fundamental understanding of nucleation at high pressure.
Livermore scientists are leveraging their extensive experience studying the movement of airborne hazards to better understand the movement of virus-like particles through the air.
One year after publishing the groundbreaking "Getting to Neutral: Options for Negative Carbon Emissions in California," Lawrence Livermore has become a trusted adviser in the discussion of how to remove carbon dioxide from the air.
New research is shedding light on the deflagration-to-detonation transition” process to make explosives safer for handling, storage and transportation.
Livermore computer scientists have developed a new deep learning approach to designing emulators for scientific processes that is more accurate and efficient than existing methods.