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IPCC report coer
// S&T Highlights
Scientists are observing changes in the Earth’s climate in every region and across the whole climate system, according to the latest Intergovernmental Panel on Climate Change Report.
Scientists looking at computer screens
// S&T Highlights
LLNL Forensic Science Center scientists earned an “A” grade in the Organisation for the Prohibition of Chemical Weapons’ (OPCW) recent biomedical proficiency test.
Tammy Ma
// Recognition
The Fusion Power Associates Board of Directors has selected Livermore experimental physicist Tammy Ma as the recipient of its 2021 Excellence in Fusion Engineering Award.
Artist's rendering of molecules flowing through three electrodes
// S&T Highlights
To take advantage of the growing abundance and cheaper costs of renewable energy, Livermore scientists and engineers are 3D printing flow-through electrodes.
Precision Diagnostic System layout in graphical form
// S&T Highlights
The new Precision Diagnostic System has an advanced array of diagnostic tools that help researchers experiment with potential methods to increase laser performance
Artist's rendering of 3D print machine creating electrochemical reactor
// S&T Highlights
A research team leverages the power of 3D printing to improve the performance of electrochemical reactors used to convert carbon dioxide (CO2) to useful energy sources, chemicals and material feedstocks.
Artist's rendering of bacteria in soil
// S&T Highlights
Just a few bacterial groups found in ecosystems across the planet are responsible for more than half of carbon cycling in soils.
Image (left) and diagram of spherical target
// S&T Highlights
Livermore scientists have demonstrated a new geometry for a neutron source platform for the National Ignition Facility.
A scanning electron microscope image of a damage site on a silicon dioxide
// S&T Highlights
Livermore researchers have developed and are now installing high-quality fused silica debris shields to increase the National Ignition Facility’s shot rate.
Kelli Humbird
// S&T Highlights
Researchers have developed a new machine learning-based approach for modeling inertial confinement fusion experiments that results in more accurate predictions of National Ignition Facility shots.