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...

New laser-based volumetric additive manufacturing method can 3D print glass in seconds

April 19, 2022- 
Versatile and ubiquitous, glass is increasingly found in specialized applications such as fiber optics, consumer electronics and microfluidics for “lab-on-a-chip” devices. However, traditional glassmaking techniques can be costly and slow, and 3D-printing glass often results in rough textures, making them unsuitable for smooth lenses. Using a new laser-based Volumetric Additive...

LLNL's Huban Gowadia named to State of Alabama Engineering Hall of Fame

March 31, 2022- 
Lawrence Livermore National Laboratory’s Huban Gowadia has been inducted into the state of Alabama’s Engineering Hall of Fame (EHF). The principal associate director for Global Security, Gowadia was one of 10 engineers inducted into the state’s EHF during a ceremony last month attended by about 250 people. She was nominated for Alabama’s EHF by the former dean of the University...

Lab mentoring program generates rewarding opportunities for career growth

March 24, 2022- 
Lawrence Livermore National Laboratory’s (LLNL) Engineering mentoring program has yielded many rewarding matchups, not least that of Yanto Mualim and Jerry Wheeler. Mualim, who works in the Lab’s Environment Safety & Health program, joined LLNL in 2018 with a focus on controls engineering. After two years, as his project wrapped up, Mualim began looking for new opportunities at the...

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...

Journal highlights Lab testing of 3D-printed COVID-19 nasal swabs

Jan. 21, 2022- 
Lawrence Livermore National Laboratory’s work on consumables for COVID-19 testing was highlighted in a recent special issue of the Materials Research Society (MRS) Bulletin focusing on materials science innovation in response to the pandemic. Guest-edited with an introduction by Crystal Chu (Lehigh University), Claire Witherel (University of Pennsylvania) and LLNL research scientist...

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....

Microfabricated thin-film electrodes show therapeutic promise

Dec. 2, 2021- 
Earlier this year, thin-film microgrid arrays developed at Lawrence Livermore National Laboratory (LLNL) and used in neurologist Jon Kleen’s patients at the University of California, San Francisco (UCSF) showed that hippocampal brain activity consisted of waves that traveled bi-directionally during behavioral tasks. These thin-film microgrid arrays are designed not just to sit on the surface...

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...

LLNL team develops real-time diagnostic for Liquid Metal Jetting 3D printing

Nov. 1, 2021- 
As 3D printing continues to grow and evolve, diagnostics capable of monitoring builds in real-time have become essential tools for producing quality parts, particularly in emerging printing technologies such as Liquid Metal Jetting (LMJ). In LMJ, tiny molten metal droplets are ejected from a nozzle at high speeds to 3D print a part in layers, similar to inkjet printers on the consumer...

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...

Early access systems at LLNL mark progress toward El Capitan

Oct. 20, 2021- 
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 Administration...