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Physical and Life Sciences

LLNL intern fabricates carbon aerogel structures for energy-storage applications

A visit to Lawrence Livermore National Laboratory (LLNL) last summer by a university professor led to a unique internship opportunity for an undergraduate student this summer: helping LLNL scientists fabricate higher-performing carbon aerogel structures for electrodes and other energy-storage applications. In 2021, Professor Anthony Santamaria from Western New England (WNE…

Oxygen effects on uranium tested

A team of researchers from Lawrence Livermore National Laboratory (LLNL) and the University of Michigan has found that the rate of cooling in reactions dramatically affects the type of uranium molecules that form. The team’s experimental work, conducted over about a year-and-a-half starting in October 2020, attempts to help understand what uranium compounds might form in…

LLNL cancer research goes exascale

A Lawrence Livermore National Laboratory (LLNL) team will be among the first researchers to perform work on the world’s first exascale supercomputer — Oak Ridge National Laboratory’s Frontier — when they use the system to model cancer-causing protein mutations. Led by Harsh Bhatia, a computer scientist in the Center for Applied Scientific Computing (CASC) at LLNL, the team…

Andean glaciers reacted in unison with polar ice in changing climate

For the first time, scientists have shown that glaciers in the tropical Andes mountains have been in sync with polar ice extent in Antarctica and the Arctic for nearly a million years. New research by an international team, including Lawrence Livermore National Laboratory (LLNL) scientist Christine Y. Chen, records glacier movement in the Southern Hemisphere that dates…

LUX-ZEPLIN Dark Matter Detector at Sanford Underground Research Facility delivers its first result

Deep below the Black Hills of South Dakota in the Sanford Underground Research Facility (SURF), an innovative and uniquely sensitive dark matter detector — the LUX-ZEPLIN (LZ) experiment, led by Lawrence Berkeley National Lab (Berkeley Lab) — has passed a check-out phase of startup operations and delivered its first results. In a paper posted online today on the experiment…

3D printing allows for faster charging and higher-energy-density lithium-ion batteries

The next generations of lithium-ion batteries require higher energy and power densities at a lower cost. Current battery manufacturing, based on slurry casting and coating, is struggling to further improve these key metrics. Lawrence Livermore National Laboratory (LLNL) is partnering with Ampcera Inc. to develop solvent-free Laser Powder Bed Fusion (L-PBF) additive…

Breaking the strongest chemical bonds with laser shock compression

Lawrence Livermore National Laboratory (LLNL) scientists recently obtained high-precision thermodynamic data on warm dense nitrogen at extreme conditions that could lead to a better understanding of the interiors of celestial objects like white dwarfs and exoplanets. The team, which includes researchers from the University of California, Berkeley and the University of…

Two LLNL scientists earn E.O. Lawrence Award

Two Lawrence Livermore National Laboratory (LLNL) scientists are recipients of the prestigious 2021 E.O. Lawrence Award that recognizes mid-career U.S. scientists and engineers for exceptional scientific, technical and engineering achievements related to the broad missions of the Department of Energy (DOE) and its programs. Jennifer Pett-Ridge was recognized for her…

Physics-based cryptocurrency transmits energy (not just information) through blockchain

Researchers from Lawrence Livermore National Laboratory (LLNL) have devised a physics-based cryptocurrency that links electrical energy and blockchain technologies in a new way. This new blockchain concept, dubbed “E-Stablecoin,” could allow electricity to be transmitted between users who are spread around the world, without the need for interconnecting wires or a grid…

DOE honors three early-career Lab scientists

Three scientists from Lawrence Livermore National Laboratory (LLNL) are recipients of the Department of Energy’s (DOE) Office of Science Early Career Research Program award. Mimi Yung, John Despotopulos and Timofey Frolov are among 83 awardees receiving the recognition. Under the program, typical awards for DOE national laboratory staff are $500,000 per year for five years…

Short Wavelengths Yield Big Dividends

Collaborative research and development focused on the extreme ultraviolet (EUV) end of the spectrum has resulted in state-of-the-art, multilayer reflective optics used for space exploration, manufacturing microchips, and more.

Additive Manufacturing Brings New Possibilities for Transparent Ceramics

Having developed several transparent ceramics for radiation detection applications for the Department of Homeland Security and the Stockpile Stewardship Program, Lawrence Livermore recently leveraged its unique additive manufacturing resources and capabilities to develop transparent ceramics with properties not previously available for use as laser materials.

The ACES in Our Hand

The Adaptive Computing Environment and Simulations (ACES) project will advance fissile materials production models and reduce risk of nuclear proliferation.

Going beyond Mother Nature’s molecules to target radioactive metals

Lawrence Livermore National Laboratory (LLNL) scientists and collaborators at Penn State University are improving natural molecules that would help target specific radioactive elements that are found in nuclear waste or used in nuclear medicine. Even the most effective molecules found in nature, which underwent billions of years of evolution, can still be improved for non…

With better algal forecasts comes safer water

Lawrence Livermore National Laboratory (LLNL) scientists and collaborators have used a new technique to better forecast the level of algal toxins that accumulate in Lake Erie every year. Harmful algal blooms (HABs) are global phenomena and, in freshwater lakes and reservoirs, are caused by cyanobacteria of the genus Microcystis that produce microcystins, a suite of amino…

Laser-based ultrasound detects defect-producing features in metal 3D printing

Lawrence Livermore National Laboratory (LLNL) researchers have developed a new all-optical ultrasound technique capable of performing on-demand characterization of melt tracks and detecting formation of defects in a popular metal 3D printing process. In a paper published by Scientific Reports, Lab researchers propose a diagnostic using surface acoustic waves (SAW),…

LLNL partners with city of Livermore to reduce carbon emissions

Lawrence Livermore National Laboratory (LLNL) has signed a memorandum of understanding (MOU) with the city of Livermore to collaborate on advancing climate action in Livermore and build community-wide resilience to climate change impacts. The city’s Climate Action Plan (CAP), anticipated to be adopted by the Livermore City Council this summer, will create a roadmap to…

Scientists study superheavy elements for extraction methods

Advancing superheavy-element chemistry—the study of elements with an atomic number greater than 103—is a challenging task because of their scarce production rates and relatively short half-lives (i.e., less than 1 minute for most), thus requiring studies to be performed at the atom-at-a-time scale. The properties of these elements are linked to the physics and chemistry at…

Space weather satellite includes LLNL-developed optics

The National Oceanic and Atmospheric Administration (NOAA) and National Aeronautics and Space Administration (NASA) successfully launched the GOES-T space weather satellite on March 1, 2022. The satellite’s solar ultraviolet imager (SUVI)—an instrument used to record full-disk images at 6 extreme ultraviolet (EUV) wavelengths every few minutes and from a single telescope…

The Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM)

Numerical models are a critical tool for predicting Earth’s future climate conditions due to the complex and inter-related processes controlling weather. While simulating the whole planet imposes severe computational challenges, global coverage is nonetheless necessary as local behavior propagates rapidly to distant areas of the globe. To solve these challenges, Peter…