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Woman holding device
// S&T Highlights
A Laboratory awards program offers advancement for scientific leaders who choose the research track over the management ladder.
two pieces of a meteorite
// S&T Highlights
Livermore research hints at expanded region of planetary formation during the solar system's formation.
Abstract colorful shapes
// S&T Highlights
Data processing workflow tools developed by Livermore scientists reveal the multifaceted nature of traumatic brain injury.
Artist's conception with images of bacteria and plankton
// S&T Highlights
A research team directly quantified uptake of complex carbon pools from the two primary sources of marine organic carbon (diatoms and cyanobacteria) by a natural microbial community.
Three resesarchers wearing masks behind table with clylindrical objects
// S&T Highlights
Nanosatellites holding tiny Livermore-developed telescopes take thousands of images of space and Earth in an ongoing Laboratory–industry partnership.
Flat map-style image of planet Earth
// S&T Highlights
Advanced computer models, simulations, and analysis capabilities help scientists zoom in on Earth system processes and improve climate research.
Lightining strikes erupting volcano
// S&T Highlights
Livermore scientists and collaborators discovered that standing shock waves in the supersonic outflow of gases prevent electric discharges like sparks and lightning from propagating.
Multi-part figure showing measured and simulated flows within an imploding ICF hot spot
// S&T Highlights
Livermore researchers investigate a “low-mode” laser asymmetry that was significantly degrading performance at the National Ignition Facility.
Journal cover Science Advances with vertical laser beam impacting surface with spheres at bottom
// Journal Covers
Research reported here shows that Bessel beams offer unprecedented control over the spatiotemporal evolution of the melt pool in stainless steel (SS 316L) in comparison to Gaussian beams.
Images of three planets offset from each other
// S&T Highlights
Livermore scientists have developed a new approach using machine learning to study the phase behaviors of superionic water with unprecedented resolution.