Scientists at Lawrence Livermore National Laboratory (LLNL) and collaborators at Advanced Micro Devices (AMD) and Columbia University report they have achieved a milestone in biological computing: completing the largest and fastest protein ….
LLNL, AMD and Columbia Report Record Protein Folding Workflow on El Capitan Supercomputer
November 14, 2025 by
Livermore Lab Physicist Hye-Sook Park Wins Teller Award
September 16, 2025 by
Hye-Sook Park, a physicist at Lawrence Livermore National Laboratory, has been awarded the Edward Teller Award for 2025 by the American Nuclear Society. The award recognizes ….
Exascale HPC: El Cap Simulations Reveal ‘Hidden Worlds’
August 26, 2025 by
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 unprecedented resolution, realism and speed. From capturing the chaotic spray ….
Livermore Lab: AI Predicted 2022 Fusion Ignition Shot
August 21, 2025 by
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 ….
LLNL Uses HPC to Push Fusion Target Design with AI
August 4, 2025 by
Researchers at Lawrence Livermore National Laboratory (LLNL) say they have reached a milestone in combining AI with fusion target design by deploying AI agents on two supercomputers to automate and accelerate inertial confinement fusion ….
LLNL: Deep Learning Model Predicts Toxic Plume Movement
July 22, 2025 by
In a study published in PNAS Nexus, researchers from Lawrence Livermore National Laboratory (LLNL) described a new deep learning model, called ST-GasNet, capable of predicting toxic plume behavior in just a few minutes.
National Lab’s Machine Learning Project to Advance Seismic Monitoring Across Energy Industries
June 30, 2025 by
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 awarded $1.8 million in funding to Lawrence Livermore National Laboratory (LLNL). The project is known as RECONNECT, or the Real-time […]
Livermore Lab: Cancer Drug Candidate Developed Using HPC and AI Blocks Tumor Growth
June 27, 2025 by
A new cancer drug candidate developed by Lawrence Livermore National Lab, BridgeBio Oncology Therapeutics and the Frederick National Laboratory for Cancer Research shows the ability to block tumor growth without a common side effect ….
LLNL Examines Exoplanet Atmospheres with HPC
February 27, 2025 by
Lawrence Livermore National Laboratory released this update on researchers’ use of high performance computing resources to study the atmospheres of exoplanets, which are planets beyond our own solar system. The NASA/ESA/CSA James Webb ….
Three LLNL Scientists Honored with Presidential Early Career Award
February 25, 2025 by
Design physicist Kelli Humbird, who has been recognized for her innovative application of machine learning in inertial confinement fusion (ICF) physics, was one of three distinguished LLNL researchers honored with a Presidential Early Career Award for Scientists and Engineers (PECASE) award. Humbird and LLNL colleagues Tomi Akindele and Holly Carlton were among the nearly 400 […]
