While quantum computing could be the future, it is currently plagued by finicky hardware. To make the technology practical, researchers must demonstrate that it consistently and continuously works and performs at scale. In a new study, published in Physical Review Letters, researchers at Lawrence Livermore National Laboratory (LLNL) and the Ion Storage Group at the National Institute of Standards and Technology in Boulder, Colorado, created a robust process for entangling trapped-ion qubits. The result means better building blocks for ion-based quantum computers. The approach creates a
Technology & Innovation#Lawrence Livermore National Laboratory#Advanced Materials and Manufacturing#computing#HPC#Simulation#and Data Science#Top Story#advanced materials
Research NewsLawrence Livermore National Laboratory
Nearly 100 Lawrence Livermore National Laboratory (LLNL) students, mentors and staff joined colleagues from across the Department of Energy (DOE) complex recently for a hands-on clinic focused on using agentic artificial intelligence tools in real scientific and technical work. Held in the Lab's Research Library, the 2026 Cross-Laboratory AI Clinic combined shared presentations from DOE and Oak Ridge National Laboratory (ORNL) with local working sessions at LLNL. Participants could bring their own data or research problem or work through a challenge problem developed through LLNL's Data
Particle PhysicsEnergy InfrastructureTechnology & Innovation#Lawrence Livermore National Laboratory#Academic Engagement#computing#Government#HPC#Simulation#and Data Science#Top Story
Technology & InnovationLawrence Livermore National Laboratory
Recently, the University of California (UC), Los Alamos National Laboratory (LANL) and Lawrence Livermore National Laboratory (LLNL) convened researchers and leaders from across the UC system in Santa Fe, New Mexico, for the first annual AI Science at Scale summit. The summit was planned in recognition of AI's growing role in scientific discovery and the Department of Energy's increasing interest in frontier AI, which subsequently formalized in the Genesis mission. Backed by a $19 million investment from fee income UC earned from managing its DOE national labs, the AI Science at Scale
Technology & Innovation#Lawrence Livermore National Laboratory#Academic Engagement#Government#HPC#Simulation#and Data Science#Industry Collaborations#Top Story
Technology & InnovationLawrence Livermore National Laboratory
Lawrence Livermore National Laboratory (LLNL) scientists and engineers, in conjunction with the Department of Energy (DOE) and National Nuclear Security Administration (NNSA), are increasingly looking to AI, robotics and automation to help accelerate advanced manufacturing, materials discovery and experimental science. The work is part of a broader push to move faster from concept to deployment in mission-relevant technologies. For Chris Spadaccini, who leads LLNL's Materials Engineering Division and has helped drive much of the Lab's advanced manufacturing research, that urgency is
Fusion EnergyEnergy InfrastructureTechnology & Innovation#Lawrence Livermore National Laboratory#Advanced Materials and Manufacturing#computing#Engineering#HPC#Simulation#and Data Science#Laboratory Directed Research and Development
Technology & InnovationLawrence Livermore National Laboratory
Researchers at Lawrence Livermore National Laboratory (LLNL) have found that implosions designed for inertial fusion energy (IFE) can tolerate significant imperfections before performance abruptly declines, a finding that could inform the design of fuel targets for future fusion power plants. The findings were detailed in a paper titled "Robustness of inertial fusion energy relevant implosions to low-mode asymmetries," published recently in Physics of Plasmas and selected for the journal's cover. The study was led by LLNL physicist Timothy Johnson, who directed the research and analysis
Fusion Energy#Lawrence Livermore National Laboratory#Energy#High-Energy-Density Science#HPC#Simulation#and Data Science#National Ignition Facility and Photon Science#Top Story
Technology & InnovationLawrence Livermore National Laboratory
Each summer, students from across the country join Lawrence Livermore National Laboratory (LLNL) to gain hands-on experience, work alongside researchers and contribute to projects supporting the Lab's mission. Meet four interns whose work spans emergency preparedness, artificial intelligence, actinide chemistry and additive manufacturing, and learn how their experiences are shaping their careers. Exploring actinide chemistry and nuclear material tracking Asia Jones explores actinide chemistry and nuclear material tracking through spectroscopy and synthesis. Asia Jones, who graduated from Norfolk State University in spring 2026 with a degree in chemistry, is an intern in LLNL's Physical and
Technology & Innovation#Lawrence Livermore National Laboratory#Academic Engagement#Advanced Materials and Manufacturing#Careers#HPC#Simulation#and Data Science#Nuclear
Space & AstronomyLawrence Livermore National Laboratory
From off-roading in rural Nevada to commuting during rush hour on the 405 in Los Angeles, the space domain has undergone a rapid transformation over the past five years. What began as a vast landscape with a few high-profile, large-scale missions is now a heavily trafficked orbital freeway, rife with accident debris and security risks. To navigate this new environment, Lawrence Livermore National Laboratory (LLNL) built the Satellite, Telescope, Aerial drone, and Remote sensing Mission Operations Center (STARMOC). The latest episode of the Big Ideas Lab podcast takes listeners inside the
Space & Astronomy#Lawrence Livermore National Laboratory#computing#Engineering#HPC#Simulation#and Data Science#Space security#Top Story
Technology & InnovationLawrence Livermore National Laboratory
Lawrence Livermore National Laboratory called and the signal and image sciences community answered: The Center for Advanced Signal and Image Sciences (CASIS) hosted their 30th annual workshop at the University of California Livermore Collaboration Center (UCLCC) on June 24-25, setting new records for attendance and technical contributions in the workshop's three-decade history. This year's workshop drew 303 registrants, a 35% increase over 2025 and more than double the attendance of just three years ago, along with around 70 talks and 55 posters spanning eight tracks on a parallel agenda
Fusion EnergyTechnology & Innovation#Lawrence Livermore National Laboratory#Advanced Materials and Manufacturing#Engineering#HPC#Simulation#and Data Science#Lasers and Optical S&T#National Ignition Facility and Photon Science
Press ReleasesLawrence Livermore National Laboratory
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 simulations with physics-informed machine learning can illuminate the relationships between structure and behavior in complex battery materials. They used the powerful combination of techniques to explore carbon anodes in sodium
Research#Lawrence Livermore National Laboratory#Advanced Materials and Manufacturing#computing#Energy#Government#HPC#Simulation#and Data Science
Technology & InnovationLawrence Livermore National Laboratory
At the bottom of the ocean, optical fibers transmit telecommunications and internet data across the world. Waveguides make that feat possible by channeling and amplifying the light — and therefore the data within — over enormous distances. And the technology goes beyond undersea cables. Waveguiding optics are among the most important advances in photonics since the invention of the laser. They are fundamental to the structure of glass fiber lasers, which are used for high-power national security applications like counter-drone laser systems and missile defense. Now, researchers at
Technology & Innovation#Lawrence Livermore National Laboratory#Advanced Materials and Manufacturing#Defense#Engineering#Lasers and Optical S&T#Top Story#advanced materials#innovation
Research NewsLawrence Livermore National Laboratory
A single gram of soil contains between 10 million and 1 billion viruses. Most of those viruses do not infect plants, animals or people — but they do target bacteria and other microbes. Because of their influence on microbial communities, viruses can affect nutrient cycling and soil health. Understanding how they behave is therefore crucial for supporting agriculture, food production and water quality. A new study published in mSystems by researchers at Lawrence Livermore National Laboratory (LLNL) shows that of the many viruses present in soil, only some are active participants at any
Life SciencesEnvironment & Climate#Lawrence Livermore National Laboratory#Bioscience and Bioengineering#Biosciences and Biotechnology#Energy#Government#HPC#Simulation#and Data Science
