One current and two former Lawrence Livermore National Laboratory (LLNL) scientists have been inducted into the Laboratory’s Entrepreneurs’ Hall of Fame (EHF).
Lawrence Livermore National Laboratory (LLNL) scientists exploring the interaction between cancer cells and the extracellular matrix (ECM) — the “scaffolding” of organs — found that proteins in the ECM can dramatically impact the immune system’s ability to kill tumors.
Researchers at Lawrence Livermore National Laboratory and the University of California, San Francisco used machine learning models to identify cancer-related risks for poor outcomes from COVID-19, finding previously unreported links between a rare type of cancer—as well as two cancer treatment-related drugs—and an increased risk of hospitalization from COVID-19.
An international team of scientists has found new biomarkers that can be used for diagnostic purposes and potentially as predictive tools of the risks associated with deep space flight.
Lawrence Livermore National Laboratory (LLNL) scientists have provided input on Microsoft’s pathway to become carbon negative by 2030. LLNL researchers built on their pivotal report “Getting to Neutral: Options for Negative Carbon Emissions in California," which has become a trusted adviser in the discussion of how to remove carbon dioxide from the air, to make recommendations to Microsoft.
The source of Earth’s water has been a longstanding debate and Lawrence Livermore National Laboratory (LLNL) scientists think they have the answer—and they found it by looking at rocks from the moon.
Lawrence Livermore National Laboratory's (LLNL’s) popular lecture series, "Science on Saturday," is once again going virtual for 2022 with the theme “Energy and the Environment.” The series, targeted to middle and high school students, runs Saturdays at 10 a.m., Feb. 5 through Feb. 26. Each Saturday will feature a different lecture presented by leading LLNL researchers, joined by a master high school science teacher.
Larry Durham has been named Lawrence Livermore National Laboratory’s new chief human capital officer and associate director for Human Resources (HR AD), effective Jan. 24, 2022. As chief human capital officer, Durham will have responsibility for the development of human resources strategies, programs and initiatives, including Lab Culture and Diversity, Equity and Inclusion. As HR AD, he will lead the HR organization and manage a team of ~100 personnel and a budget of ~$15M with responsibility for Compensation and Benefits, Human Resources Operations, Talent Acquisition, Workforce and Organization Development, Training, Military and Veterans Programs and the Livermore Laboratory Employee Services Association. Durham will also serve on key institutional and external committees, and interface extensively with the Department of Energy and the National Nuclear Security Administration.
Scientists from Lawrence Livermore National Laboratory (LLNL) and three other institutions are seeking to develop a multi-pathogen vaccine that will protect against three bacterial biothreat pathogens.
Lawrence Livermore National Laboratory (LLNL) scientists and collaborators have used lasers at the National Ignition Facility to experimentally determine the high-pressure melting curve and structural properties of pure iron up to 1,000 GPa (nearly 10,000,000 atmospheres), three times the pressure of Earth’s inner core and nearly four times greater pressure than any previous experiments to model the interior structure and dynamics of expolanets.
For the fourth consecutive year, Lawrence Livermore National Laboratory (LLNL) has been honored with a Glassdoor Employees’ Choice Award, recognizing the Best Places to Work in 2022.
Lawrence Livermore National Laboratory researchers and a multi-institutional team of scientists have developed a highly detailed, machine learning-backed multiscale model revealing the importance of lipids to the signaling dynamics of RAS, a family of proteins whose mutations are linked to numerous cancers.
By looking at the range of isotopic variations in terrestrial and meteoritic samples, a Lawrence Livermore National Laboratory (LLNL) scientist and collaborators have figured out that Earth and Mars formed by collisions of planetary embryos originating from the inner solar system.
Lawrence Livermore National Laboratory has established the AI Innovation Incubator (AI3), a collaborative hub aimed at uniting experts in artificial intelligence from LLNL, industry and academia to advance AI for large-scale scientific and commercial applications.
A suite developed by a Lawrence Livermore National Laboratory (LLNL) team to simplify evaluation of approximation techniques for scientific applications has won the first-ever Best Reproducibility Advancement Award at the 2021 International Conference for High Performance Computing, Networking, Storage and Analysis (SC21).
The scientific computing and networking leadership of the U.S. Department of Energy’s (DOE’s) national laboratories will be on display at SC21, the International Conference for High-Performance Computing, Networking, Storage and Analysis. The conference takes place Nov. 14-19 in St. Louis via a combination of on-site and online resources.
A team including a Lawrence Livermore National Laboratory (LLNL) mathematician and collaborators at the University of Massachusetts, Dartmouth and the University of Mississippi, has developed a machine learning-based technique capable of automatically deriving the motion of binary black holes from raw gravitational wave data.
Lawrence Livermore National Laboratory (LLNL) scientists and engineers have collected three awards among the top 100 industrial inventions
Lawrence Livermore National Laboratory has joined the international Human Vaccines Project, bringing Lab expertise and computing resources to the consortium to aid development of a universal coronavirus vaccine and improve understanding of immune response.
Lawrence Livermore National Laboratory (LLNL) and Penn State scientists have demonstrated how a protein can be recovered and purified for radioactive metals like actinium that could be beneficial for both next-generation drugs used in cancer therapies and the detection of nuclear activities.
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