Science and Technology Highlights

The Enriched Xenon Observatory 200
// NCI, S&T Highlights
Livermore participates in an effort to observe extremely rare neutrinoless double-beta decay.
A researcher holds an example of a Livermore Flexible Probe.
// BIO, LDRD, S&T Highlights
Microelectrode implants promise greater understanding of how the brain functions.
A network simulation of a fleet of machine agents.
// HPC, LDRD, S&T Highlights

A firefighter enters a burning office building followed by several drones, searching for people in need of rescue. The drones scatter in different directions, moving down corridors and systematically scanning rooms.

Brain image from magnetic resonance imaging (MRI) data
// BIO, HPC, S&T Highlights
Livermore will use high-performance computing in partnership with other national labs and universities to improve the scientific understanding and treatment of traumatic brain industry.
The L3-HAPLS laser system
// Lasers & Optics, S&T Highlights, TECH TRANSFER
The L3-HAPLS advanced petawatt laser system has been declared fully integrated and operational at the ELI Beamlines Research Center.
LLNL's Sierra supercomputer
// HPC, S&T Highlights
Lawrence Livermore’s next-generation supercomputer, Sierra, is the third-fastest computing system in the world, according to the TOP500 list.
Rendering of the inside of NIF's target chamber
// HEDS, S&T Highlights
An experimental campaign at the National Ignition Facility has achieved double the previous record neutron yield and fusion energy output.
Map of San Francisco electricity grid
// E&A, HPC, S&T Highlights
Livermore is working to develop and commercialize a tool capable of performing coupled simulations of transmission and distribution grids.
Engineers work on a cubesat.
// Lasers & Optics, S&T Highlights
LLNL researchers are developing new instruments and operational principles for a type of nanosatellite called CubeSat.
Three scientists in front of a crystalline material simulation image
// HPC, LDRD, NCI, S&T Highlights
Using machine learning, evolutionary algorithms, and other advanced computational techniques, researchers at Lawrence Livermore have successfully modeled how atoms are arranged between the crystals that make up most materials.