HPCIC webinar series to highlight LLNL/Hartree Center industry engagement and joint research

May 19, 2022- 
Lawrence Livermore National Laboratory (LLNL) and the United Kingdom’s Hartree Centre are launching a new webinar series intended to spur collaboration with industry through discussions on computational science, high performance computing (HPC) and data science. The first Hartree–Livermore joint webinar on Computational Science (HLCS) takes place May 24, where speakers from the Hartree...

NNSA and Cornelis Networks to collaborate on next-generation high-performance networking

May 4, 2022- 
The U.S. Department of Energy’s (DOE) National Nuclear Security Administration (NNSA) today announced the award of an $18 million contract to Cornelis Networks for collaborative research and development in next-generation networking for supercomputing systems at the NNSA laboratories The Next-Generation High Performance Computing Network (NG-HPCN) project for the NNSA’s Advanced...

HPC4Energy Innovation initiative launches new call for proposals

May 3, 2022- 
The Department of Energy (DOE) today launched the spring 2022 solicitation for the High Performance Computing for Energy Innovation (HPC4EI) initiative, seeking proposals from industry that address key energy and decarbonization-related challenges in domestic manufacturing. The latest HPC4EI funding opportunity is sponsored by the HPC4Manufacturing (HPC4Mfg) Program, one of the pillars of...

Laser-based ultrasound detects defect-producing features in metal 3D printing

April 28, 2022- 
Lawrence Livermore National Laboratory (LLNL) researchers have developed a new all-optical ultrasound technique capable of performing on-demand characterization of melt tracks and detecting formation of defects in a popular metal 3D printing process. In a paper published by Scientific Reports, Lab researchers propose a diagnostic using surface acoustic waves (SAW), generated by laser...

NASA funds LLNL to demonstrate 'replicator' 3D printer to produce cartilage in space

April 21, 2022- 
The National Aeronautics and Space Administration (NASA) announced April 15 it has awarded Lawrence Livermore National Laboratory (LLNL) and a private company with funding to develop LLNL’s revolutionary volumetric additive manufacturing (VAM) 3D printing technology to produce artificial cartilage tissue in space. The award, one of eight projects selected by NASA’s In Space Production...

Livermore WiDS provides forum for women in data science

March 18, 2022- 
Lawrence Livermore National Laboratory (LLNL) celebrated the 2022 Global Women in Data Science (WiDS) conference on March 7 with its fifth annual regional event, featuring workshops, mentoring sessions and a discussion with LLNL Director Kim Budil, the first woman to hold that role. For the second straight year, the WiDS Livermore event was entirely virtual due to the COVID-19 pandemic...

Machine learning model finds COVID-19 risks for cancer patients

March 10, 2022- 
If a cancer patient tests positive for COVID-19, are they more likely to become hospitalized from the disease? That depends on certain risk factors, according to a new study by researchers at Lawrence Livermore National Laboratory (LLNL) and the University of California, San Francisco (UCSF), who looked to identify cancer-related risks for poor outcomes from COVID-19. Analyzing one of the...

Register for materials-focused HPC4EI virtual event

March 4, 2022- 
Registration is open for the High Performance Computing for Energy Innovation (HPC4EI) initiative’s upcoming virtual event on April 8, a webinar highlighting the impact of high performance computing on material design and predicting material performance. Free to the public, the “Focus on Materials” event will feature talks by U.S. Department of Energy (DOE) national laboratory scientists...

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

Feb. 15, 2022- 
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 hospitalized COVID-19...

Lawrence Livermore's Falgout wins SIAM Supercomputing Career Prize

Feb. 3, 2022- 
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 parallel scientific...

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

Jan. 25, 2022- 
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 national lab...

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

Jan. 10, 2022- 
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 Sciences, the paper...

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

Dec. 20, 2021- 
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 use the incubator...

Newly funded HPC4Mfg project targets more energy-efficient steelmaking

Dec. 9, 2021- 
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) announced the awards today....

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

Nov. 24, 2021- 
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 of COVID-19, the...

LLNL team wins SC21 Reproducibility Advancement Award

Nov. 18, 2021- 
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 recognizes...

HPC for Energy Innovation issues new solicitation for clean energy projects

Nov. 18, 2021- 
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 would address...

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

Nov. 11, 2021- 
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 conference is...

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

Nov. 9, 2021- 
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 understanding of the motion...

Tube-in-tube structure going strong

Oct. 26, 2021- 
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, have recently...