A team of Livermore scientists has developed an expanded nuclear fission chain theory and detectors.
Science and Technology Highlights
Researchers are developing new deep learning and high-performance computing algorithms that can sift through massive amounts of data for evidence of nuclear proliferation activities.
A research team has taken a major step forward in enabling “multicolor” optogenetic control of different neuron types.
An LLNL–Virginia Tech team reported producing micro-architectured 3D graphene aerogel structures with higher resolution and complexity than anything created before with other 3D printing methods.
A research team led by scientists at Lawrence Livermore describes optical measurements of the insulator-to-metal transition in fluid hydrogen.
Livermore scientists are working to mitigate the adverse effects on National Ignition Facility implosion performance of the gossamer-thin membranes known as “tents” that support the target capsule in the hohlraum.
New research provides a theoretical explanation for why self-organized fluid flows called zonal jets or “zonal flows” can be suppressed by the presence of a magnetic field.
Lawrence Livermore and its partners are using microbes to convert carbon dioxide directly to renewable natural gas.
Livermore scientists are collecting, archiving, and documenting climate data sets to support coordinated climate modeling activities.
The Food and Drug Administration has approved the use of a medical device in humans partly developed at Livermore.