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Meet the machines that matter: How El Capitan keeps its cool
LLNL tackles the nation’s toughest security challenges through bold, multidisciplinary science powered by advanced facilities and instruments. In this four-part series, meet the machines that work behind the scenes at the Laboratory to drive discovery, push boundaries and enable excellence. From inspecting optics and trapping ions to cooling supercomputers and detecting…
Big Ideas Lab explores how the Genesis Mission aims to accelerate scientific discovery
Scientific discovery has always moved through a familiar cycle: question, hypothesis, experiment and a result. In the latest episode of the Big Ideas Lab podcast, Lawrence Livermore National Laboratory (LLNL) explores how the Department of Energy’s (DOE) Genesis Mission aims to accelerate that process by uniting AI, high-performance computing (HPC), experiments and the…
DOE opens new HPC4EI call to connect US manufacturers with national-lab supercomputing
The U.S. Department of Energy (DOE) has opened a new call for proposals under the High-Performance Computing for Energy Innovation (HPC4EI) program, a national initiative managed by Lawrence Livermore National Laboratory (LLNL) that connects U.S. manufacturers with the computing power and scientific expertise of DOE’s national laboratories. The program invites companies to…
Simulations predict ground motion for earthquakes on Bay Area’s Hayward fault
The Hayward fault, part of the larger San Andreas fault system, runs 74 miles through the East Bay of the San Francisco Bay Area. The fault is overdue for an earthquake that could cause extensive damage to such a dense population zone. In a recent study, published in Seismological Research Letters, scientists at Lawrence Livermore National Laboratory (LLNL) and Lawrence…
LLNL to harness quantum computing for next-generation magnets
Lawrence Livermore National Laboratory (LLNL) has been selected to lead a project that will receive $4.1 million in funding from the U.S. Department of Energy Advanced Research Projects Agency-Energy (ARPA-E) as part of the Quantum Computing for Computational Chemistry (QC3) program. QC3 seeks to develop and apply quantum algorithms to accelerate simulations of chemistry…
Meet LLNL: Senior Technical Recruiter Connie Castaneda Aniceto
For the past three years, Connie Castaneda Aniceto has helped people take an important step: joining Lawrence Livermore National Laboratory (LLNL). Aniceto is a senior technical recruiter on LLNL’s Talent Acquisition team, where she has worked since March 2023 supporting organizations including the National Ignition Facility, Computing, Engineering and Global Security…
LLNL-led study uses machine learning, veterans’ health records to identify ALS drug-repurposing candidate
A Lawrence Livermore National Laboratory (LLNL)-led team of scientists and computational engineers has identified several existing medications that may be associated with longer survival in people with amyotrophic lateral sclerosis (ALS), using one of the largest electronic health record datasets ever assembled for ALS. Published in The Lancet Digital Health, the study…
LLNL honors 36 as 2026 Distinguished Members of Technical Staff
Thirty-six Lawrence Livermore National Laboratory (LLNL) researchers have been named Distinguished Members of Technical Staff (DMTS) in recognition of their extraordinary scientific and technical contributions, as affirmed by their professional peers and the broader scientific community. As distinguished citizens of the Laboratory and their respective fields, DMTS honorees…
LLNL, Meta co-develop groundbreaking polymer-chemistry dataset for training AI models
Polymers are fundamental to our daily lives, serving as the core components for a wide array of goods, including clothing, packaging, transportation infrastructure, construction materials and electronics. Advances in polymer science open pathways for recycling and upcycling waste materials into more valuable chemical feedstocks. They also can have an outsized environmental…
NNSA Administrator Williams visits LLNL to discuss stockpile modernization, AI and future deterrence
U.S. Department of Energy (DOE) Under Secretary for Nuclear Security and Administrator of the National Nuclear Security Administration (NNSA) Brandon Williams visited Lawrence Livermore National Laboratory (LLNL) Feb. 9 for briefings and tours focused on stockpile modernization, AI, supercomputing and the future of deterrence. During the visit, Williams met with LLNL…
Fentanyl or phony? Machine-learning algorithm learns to pick out opioid signatures
New forms of fentanyl are created every day. For law enforcement, that poses a challenge: how do you identify a chemical you’ve never seen before? Researchers at Lawrence Livermore National Laboratory (LLNL) aim to answer that question with a machine-learning model that can distinguish opioids from other chemicals with an accuracy over 95% in a laboratory setting. The…
Simulations and supercomputing calculate one million orbits in cislunar space
Satellites and spacecraft in the vast region between the earth and moon and just beyond — called cislunar space — are crucial for space exploration, scientific advancement and national security. But figuring out where exactly to put them into a stable orbit can be a huge, computationally expensive challenge. In an open-access database and with publicly available code,…
Nanotubes with lids mimic real biology
When water and ions move together through channels only a nanometer wide, they behave in unusual ways. In these tight spaces, water molecules line up in single file. This forces ions to shed some of the water molecules that normally surround them, leading to the unique physics of ion transport. Biological channels are especially adept at this behavior, often choreographing…
LLNL’s energy scale-up brainstorming event focused on accelerating pilot-ready technologies
Solving tomorrow’s challenges in energy security requires scientists to develop new pathways to streamline innovation. To help achieve this goal, the Global Security Directorate at Lawrence Livermore National Laboratory (LLNL) recently hosted an “Energy Scale-up Brainstorming Day.” More than 60 researchers across a broad range of expertise gathered to engage in interactive…
Computing the future with Science on Saturday
Lawrence Livermore National Laboratory’s (LLNL) popular lecture series, “Science on Saturday,” will return on Feb. 7 and continue through Feb. 28 at Las Positas College in Livermore, Calif. The series features four engaging lectures under the theme “Computing the Future!” highlighting cutting-edge Laboratory research that uses the power of computing, from molecular biology…
Registration now open for LLNL summer education programs
Registration is now open for Lawrence Livermore National Laboratory’s (LLNL’s) summer science education programs. Summer 2026 offerings provide hands-on student experiences aligned with several LLNL research themes. Applications for summer 2026 are open now through Feb. 26. SAGE | June 8–12, onsite (Livermore Valley Open Campus) Science Accelerating Growth Engagement (SAGE…
New code connects microscopic insights to the macroscopic world
In inertial confinement fusion, a capsule of fuel begins at temperatures near zero and pressures close to vacuum. When lasers compress that fuel to trigger fusion, the material heats up to millions of degrees and reaches pressures similar to the core of the sun. That process happens within a miniscule amount of space and time. To understand this process, scientists need to…
LLNL’s Lindstrom honored with IEEE VIS Test of Time Award
Lawrence Livermore National Laboratory (LLNL) computer scientist Peter Lindstrom recently received a 2025 IEEE VIS Test of Time Award for his 2014 paper on near-lossless data compression, recognizing its lasting influence on the field of scientific visualization and high-performance computing. Presented annually at the IEEE VIS Conference, the Test of Time Award honors…
Superconducting circuits: How LLNL is building on Nobel Prize-winning quantum technology
This fall, the Nobel Prize in Physics was awarded to John Clarke, Michel Devoret and John Martinis “for the discovery of macroscopic quantum mechanical tunnelling and energy quantization in an electric circuit.” At Lawrence Livermore National Laboratory (LLNL), these award-winning discoveries underpin two fronts of ongoing innovation: fundamental research in quantum…
LLNL caps SC25 with HPC leadership, major science advances and artificial intelligence
Lawrence Livermore National Laboratory (LLNL) capped a milestone week at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC25) with renewed leadership in supercomputing on the Top500, a Gordon Bell Prize win for real-time tsunami forecasting and a slate of sessions that underscored the Lab’s expanding role at the intersection…
