Science and Technology Highlights

Artist's conception of lanmodulin protein
// S&T Highlights
Researchers have designed a new process, based on a naturally occurring protein, that could extract and purify rare earth elements (REE) from low-grade sources.
Drying mudflat with handprint
// S&T Highlights
Research led by Livermore scientists has identified two signatures or “fingerprints” that explain why arid conditions are spreading worldwide.
Person wearing mask in laboratory
// S&T Highlights
This video summarizes some of the work that Lawrence Livermore researchers and staff are doing to respond to the COVID-19 epidemic.
Schematic of a capacitive deionization cell
// S&T Highlights
LLNL scientists have provided a comprehensive practical overview of a capacitive deionization cell's resistive components both experimentally and theoretically.
 Image made from X-ray scans of single crystal sapphire spheres
// S&T Highlights
Researchers find principles underlying velocity scaling and dispersion in wave transmission through grainy particle arrangements.
Bio-Rad's QX200 Droplet Digital PCR (ddPCR) System
// S&T Highlights
Livermore's technology transfer team has opened up multiple fronts to aid the nation’s efforts against the SARS-CoV-2 virus that causes COVID-19.
Dividing breast cancer cell
// S&T Highlights
Biologists from Livermore have found another mechanism that affects the maintenance and expansion of malignant breast cancer cells: electric signals in the tumor microenvironment.
Composite of Sierra computer and National Ignition Facility
// S&T Highlights
Livermore scientists report that surrogate models supported by neural networks can perform as well, and in some ways better, than computationally expensive simulators.
Nebula formed by supernova
// S&T Highlights
A team of researchers including scientists from Livermore details the first quantitative measurements of the magnetic field structure of plasma filamentation.
Diagram of “brain-on-a-chip” device
// S&T Highlights
LLNL researchers have developed a way to computationally model the activity and structures of neuronal communities as they grow and mature on the device over time.