Back
HPC, Simulation, and Data Science
Lawrence Livermore-led effort one of nine DOE-funded data reduction projects
A Lawrence Livermore National Laboratory-led effort in data compression was one of nine projects recently funded by the U.S. Department of Energy (DOE) for research aimed at shrinking the amount of data needed to advance scientific discovery. LLNL was among five DOE national laboratories to receive awards totaling $13.7 million for data reduction in scientific applications…
DOE-funded project to advance portability of heterogenous HPC applications
A project involving researchers at Lawrence Livermore National Laboratory (LLNL) and national lab and academic collaborators has received U.S. Department of Energy (DOE) funding as part of an effort to adapt scientific software for next-generation high-performance computing (HPC) systems. The project, “ComPort: Rigorous Testing Methods to Safeguard Software Porting,” will…
LLNL, NNSA and elected officials celebrate opening of Livermore Valley Open Campus expansion
Leaders from the National Nuclear Security Administration (NNSA), Congressional representatives and local elected officials gathered at Lawrence Livermore National Laboratory (LLNL) on Aug. 10 to celebrate an expansion to the Livermore Valley Open Campus (LVOC). The Lab hosted a ribbon-cutting ceremony for a new office building (Bldg. 642) and a conference annex (Bldg. 643…
LLNL, other Bay Area labs to host webinar about business partnerships, the future of semiconductors
Lawrence Livermore National Laboratory (LLNL) and its three partner national labs in the Bay Area Lab Innovation Networking Center (LINC) will offer a webinar about the future of semiconductors and advanced materials on Wednesday, Aug. 25. The two-hour virtual Zoom webinar, called “Over the Horizon” and set to start at noon Pacific time, is primarily targeted at Bay Area…
LLNL/ATOM engagement with Purdue introduces students to drug design modeling
Through an engagement with Purdue University’s The Data Mine learning community, Lawrence Livermore National Laboratory (LLNL) and Purdue are partnering to speed up drug design using computational tools under the Accelerating Therapeutic Opportunities in Medicine (ATOM) project. Over two recent semesters (fall 2020 and spring 2021), LLNL bioinformatics scientist and ATOM…
LLNL optimizes flow-through electrodes for electrochemical reactors with 3D printing
To take advantage of the growing abundance and cheaper costs of renewable energy, Lawrence Livermore National Laboratory (LLNL) scientists and engineers are 3D printing flow-through electrodes (FTEs), core components of electrochemical reactors used for converting CO2 and other molecules to useful products. As described in a paper published by the Proceedings of the…
Scientists use radiography to understand the evolution of liquid and solid microjets
Lawrence Livermore National Laboratory (LLNL) scientists have experimentally tested the predictions of a 2020 study that computationally investigated the effect of melting on shock driven metal microjets. That earlier work predicted that melting the base material does not necessarily lead to a substantial increase in jet mass. The LLNL team confirmed the predictions of…
Registrations ongoing for virtual forum on industrial machine learning applications
Registration is open through July 29 for the first-ever Machine Learning for Industry Forum (ML4I), a three-day virtual event starting Aug. 10. The forum aims to foster and illustrate the adoption of machine learning methods for practical industrial outcomes, with a strong emphasis on manufacturing. Over the course of the event, attendees will engage in dialog about…
LLNL and collaborators improve electrochemical reactor performance through 3D printing
Lawrence Livermore National Laboratory (LLNL) scientists and their collaborators are leveraging the power of 3D printing to improve the performance of electrochemical reactors used to convert carbon dioxide (CO2) to useful energy sources, chemicals and material feedstocks. Working under a cooperative research and development agreement (CRADA) with Stanford University and…
New research proves quantum computing errors correlated, ties them to cosmic rays
Research by a Lawrence Livermore National Laboratory (LLNL) physicist and a host of collaborators is shedding new light on one of the major challenges to realizing the promise and potential of quantum computing — error correction. In a new paper published in Nature and co-authored by LLNL physicist Jonathan DuBois, scientists examined quantum computing stability,…
Virtual LLNL-UC Merced Data Science Challenge tackles asteroid detection though machine learning
Over three weeks, students from the University of California, Merced collaborated online with mentors at Lawrence Livermore National Laboratory (LLNL) to tackle a real-world challenge problem: using machine learning to identify potentially hazardous asteroids that could pose an existential threat to humanity. The Data Science Challenge was the third such annual event for…
Lawrence Livermore team looks at nuclear weapon effects for near-surface detonations
A Lawrence Livermore National Laboratory (LLNL) team has taken a closer look at how nuclear weapon blasts close to the Earth’s surface create complications in their effects and apparent yields. Attempts to correlate data from events with low heights of burst revealed a need to improve the theoretical treatment of strong blast waves rebounding from hard surfaces. This led…
Lawrence Livermore team looks at nuclear weapon effects for near-surface detonations
A Lawrence Livermore National Laboratory (LLNL) team has taken a closer look at how nuclear weapon blasts close to the Earth’s surface create complications in their effects and apparent yields. Attempts to correlate data from events with low heights of burst revealed a need to improve the theoretical treatment of strong blast waves rebounding from hard surfaces. This led…
Lab postdocs invited to prestigious Heidelberg Forum
Two Lawrence Livermore National Laboratory (LLNL) postdoctoral researchers are among a select group of 200 scientists invited to attend the 8thHeidelberg Laureate Forum, an international conference that connects young researchers with laureates of the major prizes in mathematics and computer science. For a week in September, LLNL computational engineering postdocs Ruben…
Conference papers highlight importance of data security to machine learning
The 2021 Conference on Computer Vision and Pattern Recognition, the premier conference of its kind, will feature two papers co-authored by a Lawrence Livermore National Laboratory (LLNL) researcher targeted at improving the understanding of robust machine learning models. Both papers include contributions from LLNL computer scientist Bhavya Kailkhura and examine the…
Students build knowledge of machinist trade during Lab's first-ever virtual Manufacturing Workshop
The COVID-19 pandemic didn’t prevent local high school students from learning what it’s like to be one of the more than 150 machinists who work at Lawrence Livermore National Laboratory (LLNL) during the Materials Engineering Division’s (MED) Manufacturing Workshop, held April 20-22. Students attended the three-day workshop virtually after their school days ended, where…
Advanced Data Analytics for Proliferation Detection shares technical advances during two-day meeting
The Advanced Data Analytics for Proliferation Detection (ADAPD) program held a two-day virtual technical exchange meeting recently. The goal of the meeting was to highlight the science-based and data-driven analysis work conducted by ADAPD to advance the state-of-the-art to accelerate artificial intelligence (AI) innovation and develop AI-enabled systems to enhance the…
Lawrence Livermore takes part in international planetary defense conference
Ten scientists from Lawrence Livermore National Laboratory (LLNL) last week took part in the 7th IAA Planetary Defense Conference (PDC), hosted by the United Nations Office for Outer Space Affairs in cooperation with the European Space Agency. Megan Bruck Syal, who helped lead the Lab’s participation in the event and who also was a conference session chair, said this year…
HPC4Energy Innovation kicks off spring solicitation
The Department of Energy’s High Performance Computing for Energy Innovation (HPC4EI) Initiative is accepting industry proposals for projects leveraging the world-class supercomputing and expertise of DOE national laboratories to address key energy-related challenges in domestic manufacturing. The DOE Office of Energy Efficiency and Renewable Energy’s Advanced Manufacturing…
Krell Institute honors Hittinger with Corones Award
The Krell Institute, a nonprofit organization serving the scientific and educational communities, has awarded Lawrence Livermore National Laboratory (LLNL) computational scientist Jeff Hittinger with its 2021 James Corones Award in Leadership, Community Building and Communication. The award, named for the institute’s founder, recognizes mid-career scientists and engineers…
