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HPC, Simulation, and Data Science
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…
Pathogen-agnostic testing reveals hidden respiratory threats in negative samples
The COVID-19 pandemic brought the term “Polymerase Chain Reaction testing” into the mainstream. The PCR method is a type of nucleic acid amplification test (NAAT) that detects a pathogen by finding and amplifying components of its genetic material, and it is widely used to detect SARS-CoV-2. But these types of tests have a weakness: you have to know exactly what pathogen…
Advanced Radiographic Capability achievements featured in Physics of Plasmas
Lawrence Livermore National Laboratory’s National Ignition Facility (NIF) is the hottest place on earth for the briefest of moments during an experiment. Now, it can be one of the brightest places thanks to the Advanced Radiographic Capability (ARC), NIF’s laser-within-the-laser. How this is possible and how it’s measured is detailed in the cover paper of the December 2025…
High Performance Computing for Manufacturing program awards funding to three LLNL-industry collaborations
The U.S. Department of Energy (DOE) on Feb. 19 announced $4.8 million for 12 projects under the High Performance Computing for Manufacturing (HPC4Mfg) program, including three collaborations involving Lawrence Livermore National Laboratory (LLNL). The HPC4Mfg program is part of the broader High Performance Computing for Energy Innovation (HPC4EI) initiative, which LLNL…
Mission challenge ideas day turns bold concepts into space security capabilities
Exploring new frontiers of space requires innovative approaches to anticipate and identify paths for integrating space domain awareness capabilities. To deliver solutions for these emergent challenges, Lawrence Livermore National Laboratory’s (LLNL) Global Security Directorate recently hosted a “Space LDRD Ideas Day.” Researchers from a broad range of disciplines attended…
Advanced simulation and modeling pave a path forward for single-crystal battery materials
The performance of rechargeable batteries is governed by processes deep within their components. A fundamental understanding of electrochemistry, structure–property–performance relationships and the effects of processing and operating conditions is essential for accelerating the development of next-generation battery technologies capable of powering electric vehicles,…
Finding resonance: How LLNL expertise is amplifying collaboration in quantum computing
In November, the Department of Energy Office of Science renewed the Superconducting Quantum Materials and Systems Center (SQMS), hosted by Fermi National Accelerator Laboratory, with $125 million over the next five years to accelerate breakthroughs in quantum information science. The investment continues to unite more than 300 experts from 43 partner institutions across…
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…
When lasers cross: LLNL finds a brighter way to measure plasma
Measuring conditions in volatile clouds of superheated gases known as plasmas are central to pursuing greater scientific understanding of how stars, nuclear detonations and fusion energy work. For decades, scientists have relied on a technique called Thomson scattering, which uses a single laser beam to scatter from plasma waves as a way to measure critical information…
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…
Light-based 3D printing lets scientists program plastic properties at the microscale
Researchers at Lawrence Livermore National Laboratory (LLNL) have co-developed a new way to precisely control the internal structure of common plastics during 3D printing, allowing a single printed object to seamlessly shift from rigid to flexible using only light. In a paper published today in Science, the researchers describe a technique called crystallinity regulation…
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…
LLNL releases Generalized Economics Model for fusion energy
Lawrence Livermore National Laboratory (LLNL) has released a new tool designed to help the fusion energy industry assess the economic impact of plant operation and design trade-offs for building an inertial fusion energy (IFE) power plant. The Generalized Economics Model (GEM) for Fusion Technology is now available to download. “GEM helps the fusion industry understand how…
Discover LLNL’s Autonomous Sensors program in the latest episode of the Big Ideas Lab podcast
When disaster strikes, every second counts, but sometimes the danger is too great for humans to go first. From mapping terrain to reaching deep underground to detect hidden threats and abandoned wells, unmanned systems equipped with advanced sensors are changing how we respond to crises. Across land, air and sea, drones can act as one coordinated force to increase the…
From fleeting to stable: scientists uncover recipe for new carbon dioxide-based energetic materials
When materials are compressed, their atoms are forced into unusual arrangements that do not normally exist under everyday conditions. These configurations are often fleeting: when the pressure is released, the atoms typically relax back to a stable low-pressure state. Only a few very specific materials, like diamond, retain their high-pressure structure after returning to…
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…
Next-generation materials for additive manufacturing
Next-generation technology requires next-generation materials that can be tailored to exact mission requirements. Additive manufacturing, or 3D printing, has already revolutionized industries like aerospace engineering by enabling previously unthinkable component designs. However, this technique has been largely limited to pre-existing metallic alloys. This is due to the…
