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Computing
Molecular crystal structures pack it in
Whether organic chemists are working on developing new molecular energetics or creating new blockbuster drugs in the pharmaceutical industry, each is searching how to optimize the chemical structure of a molecule to attain desired target properties. Part of that optimization includes a molecular crystal’s packing motif, a perceived pattern in how molecules orient relative…
Lab garners five commercialization grants
Lawrence Livermore National Laboratory (LLNL) scientists and engineers have put together another first-rate year securing major grants through the Department of Energy’s (DOE) Technology Commercialization Fund (TCF). “We did quite well, although the diversity of the research projects funded wasn’t as broad as last year,” said Rich Rankin, the director of the Lab’s…
Lab hosts two rising seniors through fellowships
Early this spring, the Livermore Lab Foundation (LLF), in partnership with University of California, Merced, awarded two rising seniors, Jose Garcia-Esparza and Teagan Zuniga, one-year $15,000 fellowships to participate in the Lab’s Data Science Summer Institute (DSSI) and continue a part-time fellowship at the Lab for the remainder of the 2020-21 school year. The…
LLNL physicist wins Young Former Student award
Texas A&M University’s Department of Nuclear Engineering on Dec. 10 announced it has honored Lawrence Livermore National Laboratory (LLNL) physicist Kelli Humbird with its 2020-21 Young Former Student award for her work at LLNL in combining machine learning with inertial confinement fusion (ICF) research. A design physicist at LLNL, Humbird graduated from Texas A&M…
LLNL’s de Supinski earns prestigious IEEE Fellowship
IEEE, the world's largest technical professional organization, announced it has elevated Bronis de Supinski to the rank of fellow, recognizing Lawrence Livermore National Laboratory's (LLNL) Livermore Computing’s chief technology officer (CTO) for his leadership in the design and use of large-scale computing systems. The prestigious IEEE fellow distinction, which takes…
NeurIPS papers aim to improve understanding and robustness of machine learning algorithms
The 34th Conference on Neural Information Processing Systems (NeurIPS) is featuring two papers advancing the reliability of deep learning for mission-critical applications at Lawrence Livermore National Laboratory (LLNL). The most prestigious machine learning conference in the world, NeurIPS began virtually on Dec. 6. The first paper describes a framework for understanding…
Lab study of droplet dynamics advances 3D printing
A team of Lawrence Livermore National Laboratory (LLNL) scientists has simulated the droplet ejection process in an emerging metal 3D printing technique called “Liquid Metal Jetting” (LMJ), a critical aspect to the continued advancement of liquid metal printing technologies. In the paper, the team describes the simulating of metal droplets during LMJ, a novel process in…
Researchers measure electron emission to improve understanding of laser-based metal 3D printing
Lawrence Livermore National Laboratory (LLNL) researchers have taken a promising step in improving the reliability of laser-based metal 3D printing techniques by measuring the emission of electrons from the surface of stainless steel during laser processing. Researchers collected thermionic emission signals from 316L stainless steel under laser powder bed fusion (LPBF)…
Lab scientists among most cited researchers worldwide
Fifty-seven researchers from Lawrence Livermore National Laboratory (LLNL) were among the top 2 percent of the most cited researchers worldwide throughout their careers, according to research on metascience by Stanford University. Metascience is the "study of studies" using scientific methods. Stanford University professor John Loannidis worked alongside U.S.-based Kevin…
Examining climate effects of regional nuclear exchange
A team of Lawrence Livermore National Laboratory (LLNL) researchers has found that the global climatic consequences of a regional nuclear weapons exchange could range from a minimal impact to more significant cooling lasting years. The five LLNL scientists examined the potential for global climate changes from large urban fires ignited in a hypothetical regional nuclear…
Girls Who Code – ‘Big’ program goes virtual
Livermore High School freshman Amber Belk is focused on studying chemical engineering in college, but through the Girls Who Code – "Big" program, she gained a new appreciation for how high performance computers that can model the types of molecules she will be studying. “Writing software codes and using the Linux operating system was really fun,” Belk said. "I really…
LLNL, IBM win SC20 ‘Test of Time’ for Blue Gene/L
A team of current and former Lawrence Livermore National Laboratory (LLNL) and IBM scientists won the annual “Test of Time” award at the 2020 Supercomputing Conference on Nov. 19 for a paper outlining LLNL’s Blue Gene/L supercomputer. Published by the Supercomputing Conference in 2002, the paper was the first peer-reviewed overview article to disclose details of Blue Gene…
The Sierra Era
Lawrence Livermore’s high-performance computing (HPC) facilities house some of the fastest supercomputers in the world, including the flagship Sierra machine. Online for more than a year, Sierra primarily runs simulations for the National Nuclear Security Administration’s (NNSA’s) Advanced Simulation and Computing (ASC) Program. Sierra substantially increases the…
HPC4Energy Innovation kicks off fall 2020 solicitation
The High Performance Computing for Energy Innovation (HPC4EI) Program, managed by Lawrence Livermore National Laboratory (LLNL) for the U.S. Department of Energy (DOE), is seeking new industry proposals for short-term projects that could benefit from world-class DOE high performance computing (HPC) and expertise. Under the fall 2020 HPC4EI solicitation, DOE’s Office of…
3D-printed glass enhances optical design flexibility
Lawrence Livermore National Laboratory (LLNL) researchers have used multi-material 3D printing to create tailored gradient refractive index glass optics that could make for better military specialized eyewear and virtual reality goggles. The new technique could achieve a variety of conventional and unconventional optical functions in a flat glass component (with no surface…
Model for COVID-19 drug discovery a Gordon Bell finalist
A machine learning model developed by a team of Lawrence Livermore National Laboratory (LLNL) scientists to aid in COVID-19 drug discovery efforts is a finalist for the Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research. Using Sierra, the world’s third fastest supercomputer, LLNL scientists created a more accurate and efficient generative…
Lab stands tall on bi-annual list of Top500 supercomputers
Lawrence Livermore National Laboratory (LLNL) can lay claim to housing four of the world’s 100 most powerful supercomputers, more than any other institution according to the TOP500 List announced Monday during the virtual Supercomputing 2020 conference (SC20). The 125-petaFLOP peak Sierra, the National Nuclear Security Administration’s flagship supercomputer, remained…
Lab stands tall on bi-annual list of Top500 supercomputers
Lawrence Livermore National Laboratory (LLNL) can lay claim to housing four of the world’s 100 most powerful supercomputers, more than any other institution according to the TOP500 List announced Monday during the virtual Supercomputing 2020 conference (SC20). The 125-petaFLOP peak Sierra, the National Nuclear Security Administration’s flagship supercomputer, remained…
Corona supercomputer gets funding for COVID-19 work
With funding from the Coronavirus Aid, Relief and Economic Security (CARES) Act, Lawrence Livermore National Laboratory (LLNL), chipmaker AMD and information technology company Supermicro have upgraded the supercomputing cluster Corona, providing additional resources to scientists for COVID-19 drug discovery and vaccine research. The recent addition of nearly 1,000 AMD…
DOE announces five new energy projects at LLNL
The Department of Energy (DOE) today announced two rounds of awards for the High Performance Computing for Energy Innovation Program (HPC4EI), including five projects at Lawrence Livermore National Laboratory (LLNL). HPC4EI connects industry with the computational resources and expertise of the DOE national laboratories to solve challenges in manufacturing, accelerate…
