Thin-film electrodes developed at Lawrence Livermore National Laboratory have been used in human patients at the University of California, San Francisco, generating never-before-seen recordings of brain activity in the hippocampus, a region responsible for memory and other cognitive functions.
Lawrence Livermore National Laboratory scientists have developed a new method for 3D printing living microbes in controlled patterns, expanding the potential for using engineered bacteria to recover rare-earth metals, clean wastewater, detect uranium and more.
Anup Singh has been selected as associate director for Engineering at Lawrence Livermore National Laboratory. Director Bill Goldstein announced the selection Feb. 1.
Lawrence Livermore National Laboratory’s popular lecture series, “Science on Saturday,” is going virtual in 2021 with the theme “Combating COVID-19.”
Kim Budil has been named director of Lawrence Livermore National Laboratory (LLNL). Charlene Zettel, chair of Lawrence Livermore National Security, LLC (LLNS), which manages the Laboratory for the Department of Energy’s (DOE) National Nuclear Security Administration (NNSA), made the announcement to Laboratory employees Jan. 28.
Charlene Zettel, chair of Lawrence Livermore National Security, LLC (LLNS), and a University of California regent, will introduce the 13th director of Lawrence Livermore National Laboratory. LLNS manages the Laboratory for the U.S. Department of Energy/National Nuclear Security Administration.
Lawrence Livermore makes Glassdoor’s ‘best places to work’ in 2021 list, ranked top lab and government employer
For the third consecutive year, Lawrence Livermore National Laboratory (LLNL) has been honored with a Glassdoor Employees’ Choice Award, recognizing the Best Places to Work in 2021. Other accolades include LLNL being the No. 1 government/government contractor employer and the No. 1 laboratory employer. LLNL also is No. 2 on the list of large employers in the Bay Area.
Cynthia Rivera has been named Lawrence Livermore National Laboratory’s principal associate director for Operations & Business (PAD/O&B), Lab Director Bill Goldstein announced today.
A machine learning model developed by a team of Lawrence Livermore National Laboratory (LLNL) scientists to aid in COVID-19 drug discovery efforts is a finalist for the Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research.
Lawrence Livermore, Texas A&M University and company share Federal Laboratory Consortium national tech transfer award
A shape memory foam material developed by Lawrence Livermore National Laboratory (LLNL) researchers is the foundation of a lifesaving medical device that has won a national technology transfer award.
Lawrence Livermore National Laboratory scientists have paired 3D-printed, living human brain vasculature with advanced computational flow simulations to better understand tumor cell attachment to blood vessels, the first step in secondary tumor formation during cancer metastasis.
The search for the next director of Lawrence Livermore National Laboratory is underway, Charlene Zettel, University of California (UC) regent and chair of Lawrence Livermore National Security, LLC (LLNS) announced today.
William H. Goldstein today announced he will retire as director of Lawrence Livermore National Laboratory (LLNL) and president of Lawrence Livermore National Security, LLC, (LLNS) following the selection of his successor.
To meet the needs of tomorrow’s supercomputers, the National Nuclear Security Administration’s (NNSA’s) Lawrence Livermore National Laboratory (LLNL) has broken ground on its Exascale Computing Facility Modernization (ECFM) project, which will substantially upgrade the mechanical and electrical capabilities of the Livermore Computing Center.
Following weeks of prototyping, Lawrence Livermore National Laboratory (LLNL) is partnering with private industry to mass-produce a simple mechanical ventilator developed for COVID-19 patients that has been authorized for emergency use by the U.S. Food and Drug Administration.
To address the nationwide shortage of specialized nasal swabs used for COVID-19 diagnoses, Lawrence Livermore National Laboratory engineers formed an ad hoc, rapid response team that tested more than a dozen novel, 3D-printed swab designs from a grassroots coalition of commercial and academic partners. The mechanical tests performed at the Lab provided valuable feedback that improved the designs, enabling them to meet requirements for COVID-19 testing. The Lab’s work on swabs is continuing with funding from the U.S. Department of Energy (DOE) and expanding into other 3D-printed components for COVID-19 test kits.
To help accelerate discovery of therapeutic antibodies or antiviral drugs for SARS-CoV-2, the virus that causes COVID-19, Lawrence Livermore National Laboratory has launched a searchable data portal to share its COVID-19 research with scientists worldwide and the general public.
Combining high-fidelity computer simulations with ultra-high-speed X-ray imaging, researchers at Lawrence Livermore National Laboratory have discovered a strategy for reducing or even eliminating defects in parts built through a common, laser-based metal 3D-printing process.
LLNL’s new machine learning platform generates novel COVID-19 antibody sequences for experimental testing
Lawrence Livermore National Laboratory researchers have identified an initial set of therapeutic antibody sequences, designed in a few weeks using machine learning and supercomputing, aimed at binding and neutralizing SARS-CoV-2, the virus that causes COVID-19. The research team is performing experimental testing on the chosen antibody designs.
While hospitals across the U.S. faced a possible shortage of mechanical ventilators due to COVID-19, a self-assembled “skunk works” team at Lawrence Livermore National Laboratory (LLNL) worked tirelessly to prototype a simple ventilator design for quick and easy assembly from available parts.
Lawrence Livermore National Laboratory (LLNL), Hewlett Packard Enterprise (HPE) and Advanced Micro Devices, Inc. (AMD) today announced the selection of AMD as the node supplier for El Capitan, projected to be the world’s most powerful supercomputer when it is fully deployed in 2023.
With a recent publication in the journal Annals of Biomedical Engineering (ABME), a team of LLNL researchers are one step closer to recapitulating the brain’s response to both biochemical and mechanical cues in a chip-based platform.
Lawrence Livermore National Laboratory researchers have designed a new class of 3D-printed lattice structures that combine light weight and high stiffness, despite breaking a rule previously thought to be required to exhibit such properties. One of the new structures additionally displays perfectly uniform response to forces in all directions.