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HPC, Simulation, and Data Science
LLNL, CFCE and Livermore Lab Foundation release AI primer for state lawmakers
Lawrence Livermore National Laboratory (LLNL), the California Foundation for Commerce and Education (CFCE) and the Livermore Lab Foundation (LLF) today released a new educational brief on the relationship between AI and California, designed to provide state lawmakers with science-based context as they consider AI policy decisions. The primer is intended to be a practical,…
What is dark matter? Explore the possibilities in the Big Ideas Lab podcast
Galaxies spin faster than they should. Clusters of those galaxies hold themselves intact against all expectations. By every visible measure, the universe should not look the way it does. Something is holding galaxies, stars and entire clusters together. Something we can’t see. And although it’s invisible to the naked eye, there are clues everywhere that allude to its…
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…
Satellite pierces through space to discover unexpected winds and sloshing intergalactic gas
The X-ray Imaging and Spectroscopy Mission (XRISM), a Japan Aerospace Exploration Agency (JAXA) and NASA collaboration with European Space Agency (ESA) participation, was built to study the most extreme environments in the cosmos. From space, the satellite collects X-rays to probe the universe’s hottest regions, largest structures and strongest gravity wells. In four…
LLNL and Energy I-Corps take science from big ideas to big market impact
Lawrence Livermore National Laboratory (LLNL) pursues big ideas to solve the most important security challenges facing the U.S. and the world. In that pursuit, scientific breakthroughs with market potential are discovered, protected and licensed to (or collaborated on) with industry partners through a process called technology transfer. LLNL’s Innovation and Partnerships…
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…
LLNL, UT & UCSD win Gordon Bell Prize with exascale tsunami forecasting
Researchers at Lawrence Livermore National Laboratory (LLNL), the University of Texas at Austin’s (UT) Oden Institute and Scripps Institution of Oceanography at the University of California San Diego (UCSD) on Nov. 20 were awarded the prestigious 2025 Association for Computing Machinery (ACM) Gordon Bell Prize for developing a real-time tsunami early-warning framework…
Gordon Bell finalist team pushes scale of rocket simulation on El Capitan
Researchers used Lawrence Livermore National Laboratory’s (LLNL) exascale supercomputer El Capitan to perform the largest fluid dynamics simulation ever — surpassing one quadrillion degrees of freedom in a single computational fluid dynamics (CFD) problem. The team focused the effort on rocket–rocket plume interactions. El Capitan is funded by the National Nuclear Security…
El Capitan retains title as world’s fastest supercomputer in latest Top500
Lawrence Livermore National Laboratory’s (LLNL) El Capitan once again claimed the top spot on the Top500 List of the world’s most powerful supercomputers, announced today at the 2025 International Conference for High Performance Computing, Networking, Storage and Analysis (SC25) conference in St. Louis. The National Nuclear Security Administration’s (NNSA’s) first exascale…
LLNL and partners launch record-breaking protein-folding workflow on world’s fastest supercomputer
Scientists at Lawrence Livermore National Laboratory (LLNL) and collaborators at Advanced Micro Devices (AMD) and Columbia University have achieved a milestone in biological computing: completing the largest and fastest protein structure prediction workflow ever run, using the full power of El Capitan, the world’s fastest supercomputer. El Capitan is funded by the Advanced…
LLNL aims to learn faster with science of scale-up
The science of scale-up enables a faster and more reliable advancement of technology from research and development through commercial deployment. Using techniques like computer modeling and advanced manufacturing, teams can compress the technology scale-up timeline, which can include making something bigger, more numerous, faster or more repeatably. Accelerating scale-up…
El Capitan revealing hidden worlds in previously unattainable high-fidelity simulations
El Capitan, the world’s fastest supercomputer, may be new to scientists at Lawrence Livermore National Laboratory (LLNL), but it's already allowing them to explore physical systems in ways that weren’t possible before. With the arrival of El Capitan, LLNL researchers are entering a new era of scientific simulation — one in which they can model extreme physical events with…
LLNL used AI to predict historic fusion ignition shot
Lawrence Livermore National Laboratory (LLNL) researchers employed an AI-driven model to predict fusion ignition days ahead of the historic 2022 shot, according to a new study in Science. In the paper, LLNL researchers detail how they used physics-informed deep learning and a “cognitive simulation” (or CogSim) framework to forecast the success of the Dec. 5, 2022 fusion…
Annual LLNL tech transfer report highlights how partnerships advance technologies to market
Department of Energy (DOE) national laboratories, like Lawrence Livermore (LLNL), offer unique opportunities to collaborate on and license scientific breakthroughs with market potential. In its Fiscal Year 2024 (FY24) Technology Transfer Annual Report, LLNL highlights how industry partnerships accelerate innovation and deliver real-world impact. In FY24, LLNL reported 201…
LLNL scientists explore real-time tsunami warning system on world’s fastest supercomputer
Scientists at Lawrence Livermore National Laboratory (LLNL) have helped develop an advanced, real-time tsunami forecasting system — powered by El Capitan, the world’s fastest supercomputer — that could dramatically improve early warning capabilities for coastal communities near earthquake zones. The exascale El Capitan, which has a theoretical peak performance of 2.79…
LLNL researchers train liquid droplets to play tic-tac-toe
Artificial intelligence and high-performance computing are driving up the demand for massive sources of energy. But neuromorphic computing, which aims to mimic the structure and function of the human brain, could present a new paradigm for energy-efficient computing. To this end, researchers at Lawrence Livermore National Laboratory (LLNL) created a droplet-based platform…
LLNL’s Lori Diachin named to 2025 ‘legends’ of high-performance computing list
Lawrence Livermore National Laboratory’s Principal Deputy for Computing Lori Diachin has been named one of HPCwire’s “35 Legends” for 2025, a recognition that celebrates pioneers, visionaries and champions who have left an enduring mark on high-performance computing (HPC). Now in its second year, the 35 Legends class is selected by HPCwire’s editors and advisors to honor…
New machine learning project will advance real-time seismic monitoring across energy industries
A new initiative designed to revolutionize seismic monitoring and forecasting using real time, advanced machine learning (ML) technologies is coming to the West Texas/New Mexico area. The U.S. Department of Energy (DOE) Technology Commercialization Fund (TCF) awarded $1.8 million in funding to Lawrence Livermore National Laboratory (LLNL). The TCF is administrated by the…
Cancer drug candidate developed using supercomputing & AI blocks tumor growth without toxic side effect
A new cancer drug candidate developed by Lawrence Livermore National Laboratory (LLNL), BBOT (BridgeBio Oncology Therapeutics) and the Frederick National Laboratory for Cancer Research (FNLCR) has demonstrated the ability to block tumor growth without triggering a common and debilitating side effect. In early clinical trials, the compound, known as BBO-10203, has shown…
Meet LLNL: Computer Scientist Nicole Marsaglia
Nicole Marsaglia is a computer scientist at Lawrence Livermore National Laboratory (LLNL), where she works on Ascent, an in-situ library that allows scientists to analyze and visualize simulation data as it is generated. Marsaglia joined LLNL in March 2022, drawn by the opportunity to apply her technical interests and work with a collaborative, enthusiastic team. “What I…
