A neon-filled, hermetic package lets a thin film of solid neon coat a superconducting-resonator chip at millikelvin temperatures. Simple on-chip...
Advanced Compute, AI and Quantum
Large-scale cognitive simulations, science-informed artificial intelligence (AI) and unique insight into the most challenging physics and data problems using high-performance computing (HPC) for applications in defense, aerospace, cybersecurity, energy, advanced manufacturing and more.
People
Capabilities
Exascale high-performance computing and simulation
- Operating El Capitan, the world's fastest supercomputer (2.79+ exaflops), to run large-scale multiphysics codes and high-fidelity predictive models for stockpile stewardship and other national security missions
Cognitive Simulation (CogSim)
- LLNL-pioneered approach that couples physics-based HPC simulation with machine learning to improve predictive accuracy, steer experiments and accelerate scientific discovery (key contributor to NIF fusion ignition)
Science-informed AI and machine learning
Physics-informed deep learning, surrogate modeling, uncertainty quantification, and AI-driven design optimization at unprecedented scale through the AI Innovation Incubator (AI3)
Data science and large-scale analytics
- Pattern recognition, multimodal data integration and AI/ML-augmented approaches to scientific discovery and engineering design
Quantum information science
- Quantum computing, simulation and sensing; superconducting qubit and quantum materials development; hybrid classical-quantum algorithms; quantum systems engineering
Advanced HPC software and infrastructure
- Open-source tools (Flux, Spack, Lustre contributions), exascale-ready software stacks, AI accelerator platforms and specialized testbeds for emerging technologies
HPC-quantum integration
- Pathfinder protocols and noise-resilient quantum computing approaches that link quantum processors with exascale HPC resources
Facilities
Explore Technologies
2025-129
Quantum Science
IL-13569
LLNL and its research partners have created miniature ion traps with submicron precision and complex geometries made using 3D printing for fast, high...
Quantum Science
IL-13897
LLNL’s Distributed Implicit Neural Representation (DINR) is a novel approach to 4D time-space reconstruction of dynamic objects. DINR is the first...
Analysis, Imaging Systems
IL-13625
The essence of this invention is a method that couples network architecture using neural implicit representations coupled with a novel parametric...
Computing, Imaging Systems
CSP-POST provides the capability to inspect all incoming and outgoing emails while providing after-the-fact forensic capabilities. Using commercially...
Cybersecurity
IL-13820
LLNL has invented a new system that uses public key cryptography to differentiate between human-generated text and AI-generated text. This invention...
Cybersecurity
Lawrence Livermore National Laboratory (LLNL) is offering the opportunity to collaborate in accelerating artificial intelligence (AI) for applied...
Data Science
CRETIN is a 1D, 2D, and 3D non-local thermodynamic equilibrium (NLTE) atomic kinetics/radiation transport code which follows the time evolution of...
Simulation
45720
LLNL’s new method enhances the coherence of superconducting circuits by introducing a phononic bandgap around the system’s operating frequency...
Quantum Science
FBO465-20
To solve these challenges using new and existing CT system designs, LLNL has developed an innovative software package for CT data processing and...
Computing, Imaging Systems
IL-13464
Clinical images have a wealth of data that are currently untapped by physicians and machine learning (ML) methods alike. Most ML methods require more...
Data Science
IL-13158
Some COVID-19 diagnoses are utilizing computed tomography (CT)-scans for triage. CT-scans produce immediate results with high sensitivity. The digital...
Data Science
45620
MimicGAN represents a new generation of methods that can “self-correct” for unseen corruptions in the data out in the field. This is particularly...
Data Science
42419
The LiDO code combines finite element analysis, design sensitivity analysis and nonlinear programming in a High-Performance Computing (HPC)...
Analysis
35918
LLNL has developed a new method for securely processing protected data on HPC systems with minimal impact on the existing HPC operations and execution...
Cybersecurity
31116
LLNL has developed a new active memory data reorganization engine. In the simplest case, data can be reorganized within the memory system to present a...
Information Technology
44920
Simrev is a python library imported into a user-generated program. As the program grows in capability and complexity, the engineered product matures...
Simulation
30416
LLNL has developed a new system, called the Segmentation Ensembles System, that provides a simple and general way to fuse high-level and low-level...
Data Science
Stories
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-Cor
Energy Scale-Up Brainstorming Day to Accelerate Pilot-Ready Technologies
IPO plays an important role in helping researchers identify transition pathways, engage external partners and facilitate agreements needed to move technologies beyond the Lab. Successful scale-up of energy technology will depend on strong partnerships, particularly with industry.
LLNL and Energy I-Corps take science from big ideas to big market impact
LLNL pursues big ideas to solve the most important security challenges facing the U.S. and the world.
Johanna Schwartz and collaborators selected for Scialog award
The Scialog: Automating Chemical Laboratories initiative has awarded Lawrence Livermore National Laboratory (LLNL) scientist Johanna Schwartz $60,000 to pursue automa
Engineering recognizes efforts in Strategic Partnership Projects
Eight Lawrence Livermore National Laboratory (LLNL) researchers were recently honored by the Lab’s Engineering Principal Associate Directorate for their efforts in raising the Lab’s visibility and r
Lab scientists win three R&D 100 awards
Lawrence Livermore National Laboratory (LLNL) scientists and engineers have earned three awards among the top 100 inventions worldwide.
DOE Unveils Public Database Featuring Intellectual Property from DOE National Labs and Sites
DOE’s Office of Technology Commercialization (OTC) has created the Visual Intellectual Property Search database, known as VIPS, to make it easier to perform intellectual property searches and find new technologies developed at DOE’s 17 National Laboratories and several additional DOE plants and s
LLNL, Hertz Foundation Partner to Support Scientific Entrepreneurship
A new collaboration between the Fannie and John Hertz Foundation and Lawrence Livermore National Laboratory (LLNL) allows up to three Hertz Fellows a year to attend LLNL’s annual National Labs Entrepreneurship Academy.
