Lawrence Livermore National Laboratory (LLNL) and Tyvak Nano-Satellite Systems, Inc. have reached a cooperative research and development agreement (CRADA) to develop innovative compact and robust telescopes for nanosatellites.
Lawrence Livermore National Laboratory (LLNL) researchers, in collaboration with Pennsylvania State University (PSU) and Idaho National Laboratory (INL), have designed a new process, based on a naturally occurring protein, that could extract and purify rare earth elements (REE) from low-grade sources. It could offer a new avenue toward a more diversified and sustainable REE sector for the United States. The protein, lanmodulin, enables a one-step extraction and purification of (REE)s from complex metal mixtures, including electronic waste and coal byproducts.
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.
Despite devastating impacts of drought on human and natural systems, the reasons why long-term regional drying occurs remain poorly understood. Research led by Lawrence Livermore National Laboratory (LLNL) scientists have identified two signatures or “fingerprints” that explain why arid conditions are spreading worldwide, and why the Western United States has tended towards drought conditions since the 1980s while the African Sahel has recovered from its prolonged drought. The research appears in the July 6 edition of Nature Climate Change.
Stress wave propagation through granular material is important for detecting the magnitude of earthquakes, locating oil and gas reservoirs, designing acoustic insulation and designing materials for compacting powders. A team of researchers including Lawrence Livermore National Laboratory (LLNL) physicist Eric Herbold used X-ray measurements and analyses to show that velocity scaling and dispersion in wave transmission is based on grainy particle arrangements and chains of force between them, while reduction of wave intensity is caused mainly from grainy particle arrangements alone.
Lawrence Livermore National Laboratory’s (LLNL) technology transfer team has opened up multiple fronts to aid the nation’s efforts against the virus that causes COVID-19.
Two scientists from Lawrence Livermore National Laboratory (LLNL) are recipients of the Department of Energy’s (DOE) Office of Science Early Career Research Program award. Federica Coppari and Erin Nuccio are among 76 scientists nationwide selected for the recognition. Under the program, typical awards for DOE national laboratory staff are $500,000 per year for five years.
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.
In a recent preprint (available through Cornell University’s open access website arXiv), a team led by a Lawrence Livermore National Laboratory computer scientist proposes a novel deep learning approach aimed at improving the reliability of classifier models designed for predicting disease types from diagnostic images, with an additional goal of enabling interpretability by a medical expert without sacrificing accuracy. The approach uses a concept called confidence calibration, which systematically adjusts the model’s predictions to match the human expert’s expectations in the real world.
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.
Two LLNL biomedical scientists who have worked for more than eight years to develop a tularemia vaccine are part of a three-institution team that has been funded to bring their candidate vaccine to readiness for use
LLNL researchers are studying ways to safely and rapidly remove viral threats from N95 respirators, without compromising the device’s fit and its ability to filter airborne particles, so they can be re-used.
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.
A multi-institutional team of researchers led by Lawrence Livermore National Laboratory (LLNL) scientist Francesco Fornasiero has developed a smart, breathable fabric designed to protect the wearer against biological and chemical warfare agents.
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.
A study conducted by a team of national lab and NASA researchers has found that the environment of the International Space Station (ISS) is affected by the microbial composition of the astronauts themselves.
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.
To assist in the COVID-19 research effort, Lawrence Livermore National Laboratory, Penguin Computing and AMD have reached an agreement to upgrade the Lab’s unclassified, Penguin Computing-built Corona high performance computing (HPC) cluster with an in-kind contribution of cutting-edge AMD Instinct™ accelerators, expected to nearly double the peak performance of the machine.
In 2019, Americans used less energy than in 2018, according to the most recent energy flow charts released by Lawrence Livermore National Laboratory (LLNL).
Planetary defense researchers at LLNL continue to validate their ability to accurately simulate how they might deflect an Earth-bound asteroid in a study that will be published in the April issue of the American Geophysical Union journal Earth and Space Science.
Lawrence Livermore National Laboratory scientists are contributing to the global fight against COVID-19 by combining artificial intelligence/machine learning, bioinformatics and supercomputing to help discover candidates for new antibodies and pharmaceutical drugs to combat the disease.
A tiny, invisible particle, antineutrinos, could offer help for a big problem – the threat of nuclear proliferation. With advances, researchers are moving closer to the day when they can deploy technology to remotely monitor these particles from nuclear power plants at long distances.
LLNL and Argon Electronics (UK) Ltd. have reached a Cooperative Research and Development Agreement that will facilitate the development of an ultra-realistic radiation simulator tool for first responders.
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.
A chemist who is the director of Lawrence Livermore National Laboratory’s Forensic Science Center is the recipient of the 2020 “Outstanding Early Career Achievement in Forensic Science Award.”
A Lawrence Livermore National Laboratory scientist and international collaborators have developed a framework for testing nutrient limitations and a benchmark of nitrogen and phosphorus limitation for models to be used for predictions of the terrestrial carbon sink.
Lawrence Livermore National Laboratory engineers and biologists have developed a “brain-on-a-chip” device capable of recording the neural activity of living brain cell cultures in three-dimensions, a significant advancement in the realistic modeling of the human brain outside of the body.
Computer scientists at Lawrence Livermore National Laboratory are preparing the future of commuter traffic by applying Deep Reinforcement Learning — the same kind of goal-driven algorithms that have defeated video game experts and world champions in the strategy game Go — to determine the most efficient strategy for charging and driving electric vehicles used for ride-sharing services.
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