Science and Technology

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STAR (Sample Test and Recovery) array and space ship
// S&T Highlights
The STAR (Sample Test and Recovery) array was developed to measure shock velocity and heating in up to 16 material samples irradiated with x rays.
Artist's conception of the dust and gas surrounding a newly formed planetary system.
// S&T Highlights
Livermore scientists and a collaborator reviewed recent work that shows how meteorites exhibit a fundamental isotopic dichotomy between non-carbonaceous and carbonaceous groups,
Livermore mechanical technicians pose in front of the gas recirculation plant they built, December 1967​​​​​​.​
// A Look Back

On Dec. 10, 1967, Project Gasbuggy was conducted in a sandstone gas-bearing formation in the San Juan Basin near Farmington, New Mexico.

Federica Coppari with an x-ray diffraction image plate
// Recognition
Laboratory research scientist Federica Coppari was named a New Leader in Space Science by the U.S. and Chinese academies of sciences.
Two images of the fungus Fusarium
// S&T Highlights
Livermore scientists have helped discover that RNA viruses are abundant and diverse in soil, where they prey upon organisms such as insects, nematodes and fungi.
asteroid P/2016 G1
// Press

Astronomers spot an asteroid being struck by another object.

Three men standing in lab
// Recognition
A trio of employees and Lawrence Livermore have netted a national technology transfer award for their work in the creation of LLNL’s Advanced Manufacturing Laboratory (AML).
Gold aerogel on top of mosquito
// Journal Covers
Research team reports the fabrication of ultralight gold aerogel monoliths with tunable densities and pore structures.
Microbe capsules
// S&T Highlights
To help increase the U.S. supply of rare earth elements, researchers are using microbe beads to recover rare earth elements from consumer electronic waste.
Six people standing on stage
// Recognition
A panel of judges at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19) awarded a multi-institutional team led by Lawrence Livermore National Laboratory computer scientists with the conference’s Best Paper award.