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Advanced Materials and Manufacturing
With machine learning, LLNL researchers embrace the atomic-scale complexity of batteries
For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National Laboratory (LLNL) scientists are tackling that challenge in many ways, but one approach is making a significant impact: physics-informed machine learning. In two recent publications, LLNL researchers examined how integrating molecular dynamics…
Modernizing high-explosives manufacturing
For decades, manufacturing plastic-bonded high explosives, or PBXs, has relied on legacy processes like slurry coating. In this method, explosive crystals are mixed with a binder, a polymer that helps hold the material together, to form small granules called prills. Those prills are then pressed into dense explosive parts. This process is difficult to control, inefficient…
Researchers create first-of-a-kind laser spring with LLNL’s highest-precision optics to date
When a high-intensity laser interacts with plasma, the charged particles typically oscillate back and forth like waves on the ocean. But what if the laser itself could twist like a whirlpool? Researchers have now demonstrated a rotating, spring-shaped laser pulse, opening up new possibilities for fusion energy, particle acceleration, astrophysics and beyond. In new…
LLNL helps advance AI-driven design and simulation for NNSA Aires Tide collaboration
Lawrence Livermore National Laboratory (LLNL) is contributing AI-enabled payload optimization and advanced modeling and simulation expertise to Aires Tide, a collaborative National Nuclear Security Administration (NNSA) demonstration exploring new ways to design flight test vehicles. Developed in collaboration with Sandia National Laboratories, Los Alamos National…
Agreement opens new opportunities for LLNL, UC Merced
Lawrence Livermore National Laboratory (LLNL) and UC Merced have long been partners in cutting-edge science and technology. University students and researchers take part in numerous lab activities such as the Data Science Challenge, which brings students to Livermore to for an intensive two-week summer experience where they collaborate on complex scientific and…
Bridging the gap between neuromorphic ionic computing and more efficient AI
The human brain is the ultimate supercomputer. It uses a highly-branched and interconnected network of neurons and synapses to achieve massive computational power with extreme efficiency. In the age of AI, the brain, a paradigm of efficient neuromorphic computing, is providing inspiration for scientists. Ionic computing — which uses ions to compute instead of the electrons…
Site 300 marks 70 years with employee appreciation event, open house
Lawrence Livermore National Laboratory (LLNL) marked Site 300’s 70th anniversary in May with two events celebrating the Experimental Test Site’s history, mission and people: an Employee Appreciation Day and a family-focused open house. Although Site 300 reached its 70-year milestone last fall, celebrations were delayed due to a lapse in federal government funding. The…
Roll the tape: LLNL captures inception of hydrogen-uranium reaction for the first time
When hydrogen gas interacts with uranium metal, the combination creates a chemically reactive powder and a runaway reaction that is difficult to stop. The result can impact the safety and lifespan of technology critical for fusion energy, hydrogen storage and nuclear fuels. In a recent study published in npj Materials Degradation, researchers from Lawrence Livermore…
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…
LLNL showcases AI-enabled science, national security and energy innovation at AI+ Expo
Lawrence Livermore National Laboratory (LLNL) leaders, scientists and engineers joined national voices at the Special Competitive Studies Project’s (SCSP) AI+ Expo May 7-9 in Washington, D.C., highlighting how AI is reshaping science, security and energy innovation. The public Expo brought together government, industry, academic and Department of Energy (DOE) national…
Meet LLNL: Laser Material Interaction Deputy Group Leader Sonny Ly
Sonny Ly has built a career at Lawrence Livermore National Laboratory (LLNL) combining laser physics, materials science and mentorship. A deputy group leader in the Laser Material Interaction Science Group within the Materials Science Division under Physical and Life Sciences, Ly first came to the Lab in 2010 as a graduate student from the University of California, Davis…
3D-printed interlocking electrodes demonstrate optimization potential for energy storage
Good electrochemical energy storage (EES) devices such as rechargeable batteries and supercapacitors can store a lot of energy and release it quickly, but these design goals are often at odds with each other. Using design optimization and 3D printing, a team led by engineers and scientists at Lawrence Livermore National Laboratory (LLNL) have overcome this tradeoff and…
Two LLNL teams attend DOE’s Energy I-Corps Cohort 22
Continuing a decade of entrepreneurial training and commercializing mission innovation, two teams of Lawrence Livermore National Laboratory (LLNL) researchers attended the Department of Energy’s (DOE) Energy I-Corps (EIC) Cohort 22 in Colorado this spring. The EIC is a key initiative of the DOE’s Office of Technology Commercialization (OTC). Candice Bila from 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…
LLNL named 2026 Manufacturer of the Year by AMBayArea
Lawrence Livermore National Laboratory (LLNL) has been named the 2026 Manufacturer of the Year in the large manufacturer category by the Association of Manufacturers Bay Area (AMBayArea), recognizing the Lab’s leadership in advanced manufacturing, engineering and national security innovation. The award was announced April 21 during the AMBayArea Summit at the Chabot Space …
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…
Looking into the void to cancel out material instabilities
Picture two materials sandwiched together. The boundary between them may appear flat, but, in reality, it is full of tiny bumps and dents. Suddenly, the materials are hit with a shockwave. If that wave hits a bump in the material interface, it slows down. If it hits a dent, it accelerates forward. This imbalance creates fast, narrow jets of material — called the Richtmyer…
LLNL partners with Inertia to develop fusion energy technology
Scientists from Lawrence Livermore National Laboratory (LLNL) are partnering with San Francisco Bay Area fusion energy startup Inertia Enterprises Inc. to advance fusion laser technology, as well as inertial fusion target manufacturing and designs. This collaboration is an expansive and integrated private sector-led partnership, unique in the history of LLNL and the DOE…
Big Ideas Lab explores how HPC for Energy Innovation advances U.S. industry
Some of the toughest challenges in American manufacturing are being solved without ever stepping onto a factory floor. Inside supercomputers, scientists are modeling systems too complex, costly or time-consuming to test in the real world. In the latest episode of the Big Ideas Lab podcast, Lawrence Livermore National Laboratory (LLNL) spotlights the High-Performance…
Cryogenic micro-calorimetry offers a novel material-dating method for nuclear forensics and safeguards
The moment nuclear material is produced, processed or purified, it sets off a hidden countdown, marked by the half-life of its radioactive atoms as they begin to decay. For scientists tracking the origins of these substances, decoding this natural clock is crucial for verifying material histories in support of global security efforts. In a new study published in the…