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HPC, Simulation, and Data Science

LLNL team models COVID-19 disease progression and identifies risk factors

A Lawrence Livermore National Laboratory (LLNL) team has developed a comprehensive dynamic model of COVID-19 disease progression in hospitalized patients, finding that risk factors for complications from the disease are dependent on the patient’s disease state. Using a machine learning algorithm on a dataset of electronic health records (EHRs) from more than 1,300…

Lawrence Livermore's Falgout wins SIAM Supercomputing Career Prize

The Society for Industrial and Applied Mathematics (SIAM) announced Lawrence Livermore National Laboratory computational mathematician Rob Falgout as the recipient of the 2022 SIAM Activity Group on Supercomputing Career Prize. Established in 2009, the career prize recognizes “broad and distinguished contributions to the field of algorithms research and development for…

Two LLNL scientists honored as 2022 Oppenheimer Science and Energy Leadership fellows

The Oppenheimer Science and Energy Leadership Program (OSELP) has selected Lawrence Livermore National Laboratory computer scientist Kathryn Mohror and materials scientist T. Yong Han as 2022 fellows. Established in 2017, OSELP is a distinguished fellowship program that brings together exceptional leaders to explore the complexities, challenges and opportunities facing the…

Unprecedented multiscale model of protein behavior linked to cancer-causing mutations

Lawrence Livermore National Laboratory (LLNL) researchers and a multi-institutional team of scientists have developed a highly detailed, machine learning-backed multiscale model revealing the importance of lipids to the signaling dynamics of RAS, a family of proteins whose mutations are linked to numerous cancers. Published by the Proceedings of the National Academy of…

LLNL establishes AI Innovation Incubator to advance artificial intelligence for applied science

Lawrence Livermore National Laboratory (LLNL) has established the AI Innovation Incubator (AI3), a collaborative hub aimed at uniting experts in artificial intelligence (AI) from LLNL, industry and academia to advance AI for large-scale scientific and commercial applications. LLNL has entered into a new memoranda of understanding with Google, IBM and NVIDIA, with plans to…

Newly funded HPC4Mfg project targets more energy-efficient steelmaking

A Lawrence Livermore National Laboratory (LLNL)-led collaboration targeted at using machine learning to reduce defects and carbon emissions in steelmaking is one of eight new projects receiving Department of Energy (DOE) funding through the High Performance Computing for Manufacturing (HPC4Mfg) Program. DOE’s Office of Energy Efficiency and Renewable Energy (EERE)…

Meet me in St. Louis (virtually or in person): First-ever hybrid Supercomputing conference sports strong Lab flavor

It was a Supercomputing conference like none other before it. For the first time ever, the 2021 International Conference for High Performance Computing, Networking, Storage and Analysis (SC21) went hybrid, with dozens of both in-person and virtual workshops, technical paper presentations, panels, tutorials and “birds of a feather” (BOF) sessions. Under the ongoing specter…

LLNL team wins SC21 Reproducibility Advancement Award

A suite developed by a Lawrence Livermore National Laboratory (LLNL) team to simplify evaluation of approximation techniques for scientific applications has won the first-ever Best Reproducibility Advancement Award at the 2021 International Conference for High Performance Computing, Networking, Storage and Analysis (SC21). Newly instituted by the conference, the award…

HPC for Energy Innovation issues new solicitation for clean energy projects

The U.S. Department of Energy's (DOE) High Performance Computing for Energy Innovation (HPC4EI) initiative, managed by Lawrence Livermore National Laboratory, is seeking proposals for projects that can leverage DOE supercomputing to advance clean energy technologies. The fall 2021 solicitation targets industry partners for collaborations with DOE national laboratories that…

U.S. Department of Energy to showcase national lab expertise at SC21

The scientific computing and networking leadership of the U.S. Department of Energy’s (DOE’s) national laboratories will be on display at SC21, the International Conference for High-Performance Computing, Networking, Storage and Analysis. The conference takes place Nov. 14-19 in St. Louis via a combination of on-site and online resources. The theme of this year’s…

LLNL-led team uses machine learning to derive black hole motion from gravitational waves

The announcement that the Laser Interferometer Gravitational-wave Observatory (LIGO) had detected gravitational waves during the merger of two black holes sent ripples throughout the scientific community in 2016. The earthshaking news not only confirmed one of Albert Einstein’s key predictions in his general theory of relativity, but also opened a door to a better…

LLNL researchers garner three awards among top 100 industrial inventions

Lawrence Livermore National Laboratory (LLNL) scientists and engineers have collected three awards among the top 100 industrial inventions worldwide. The trade journal R&D World Magazine announced the winners of the awards, often called the “Oscars of invention,” during a three-day virtual ceremony — Oct. 19-21 — and on the magazine’s website. With this year’s results,…

Tube-in-tube structure going strong

Similar to grass stems, Lawrence Livermore National Laboratory (LLNL) scientists have created nanostrut-connected tube-in-tubes that enable stronger low-density structural materials. Porous materials with engineered stretching-dominated lattice designs, which offer attractive mechanical properties with ultra-light weight and large surface area for wide-ranging applications…

LLNL joins Human Vaccines Project to accelerate vaccine development and understanding of immune response

Lawrence Livermore National Laboratory (LLNL) has joined the international Human Vaccines Project (HVP), bringing Lab expertise and computing resources to the consortium to aid development of a universal coronavirus vaccine and improve understanding of immune response. The HVP is a nonprofit, public-private partnership with a mission to decode the human immune system and…

Early access systems at LLNL mark progress toward El Capitan

Though the arrival of the exascale supercomputer El Capitan at Lawrence Livermore National Laboratory (LLNL) is still almost two years away, teams of code developers are busy working on predecessor systems to ensure critical applications are ready for Day One. Delivered in February, the “RZNevada” early-access system is providing experts at the National Nuclear Security…

Powering up: LLNL prepares for exascale with massive energy and water upgrade

A supercomputer doesn’t just magically appear, especially one as large and as fast as Lawrence Livermore National Laboratory’s upcoming exascale-class behemoth El Capitan. At peak usage, El Capitan — projected to be the world’s most powerful computer by 2023 — will require about as much energy as a small city, so it takes years of planning, infrastructure upgrades and an…

Lab garners five technology commercialization grants

Lawrence Livermore National Laboratory (LLNL) scientists and engineers have posted another banner year securing major grants through the Department of Energy’s (DOE) Technology Commercialization Fund (TCF). “I think the Laboratory did very well again, reflecting a variety of types and approaches to our research and development projects,” said Rich Rankin, the director of…

LLNL explores laser beam shaping to improve metal 3D printing

While laser-based 3D printing techniques have revolutionized the production of metal parts by greatly expanding design complexity, the laser beams traditionally used in metal printing have drawbacks that can lead to defects and poor mechanical performance. Researchers at Lawrence Livermore National Laboratory (LLNL) are addressing the issue by exploring alternative shapes…

NNSA taps Dell Technologies to provide expanded computing resources for stockpile stewardship

The Department of Energy’s National Nuclear Security Administration’s (DOE/NNSA’s) Lawrence Livermore National Laboratory (LLNL) announced the awarding of a subcontract to Dell Technologies for additional supercomputing systems to support NNSA’s nuclear deterrent mission. In partnership with Los Alamos National Laboratory (LANL) and Sandia National Laboratories (SNL), the…

Inaugural industry forum inspires ML community

LLNL held its first-ever Machine Learning for Industry Forum (ML4I) on Aug. 10-12. Co-hosted by the Lab’s High Performance Computing Innovation Center (HPCIC) and Data Science Institute (DSI), the virtual event brought together more than 500 participants from the Department of Energy (DOE) complex, commercial companies, professional societies and academia. Industry…