Scientists use radiography to understand the evolution of liquid and solid microjets

July 28, 2021- 
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 microjet...

Registrations ongoing for virtual forum on industrial machine learning applications

July 22, 2021- 
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 applications, tools...

LLNL and collaborators improve electrochemical reactor performance through 3D printing

July 20, 2021- 
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 oil and gas...

New research proves quantum computing errors correlated, ties them to cosmic rays

June 28, 2021- 
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, particularly what causes...

Virtual LLNL-UC Merced Data Science Challenge tackles asteroid detection though machine learning

June 25, 2021- 
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 LLNL and UC...

Lawrence Livermore team looks at nuclear weapon effects for near-surface detonations

June 7, 2021- 
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 to an extension...

Lab postdocs invited to prestigious Heidelberg Forum

May 21, 2021- 
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 Glatt and Felipe...

Conference papers highlight importance of data security to machine learning

May 11, 2021- 
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 importance of data in...

Students build knowledge of machinist trade during Lab's first-ever virtual Manufacturing Workshop

May 10, 2021- 
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 they were...

Advanced Data Analytics for Proliferation Detection shares technical advances during two-day meeting

May 7, 2021- 
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 United...

Lawrence Livermore takes part in international planetary defense conference

May 6, 2021- 
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’s conference...

HPC4Energy Innovation kicks off spring solicitation

May 4, 2021- 
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 Office announce...

Krell Institute honors Hittinger with Corones Award

April 29, 2021- 
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 who are making...

LLNL, IBM and Red Hat joining forces to explore standardized HPC resource management interface

April 28, 2021- 
Lawrence Livermore National Laboratory (LLNL), IBM and Red Hat are combining forces to develop best practices for interfacing high performance computing (HPC) schedulers and cloud orchestrators, an effort designed to prepare for emerging supercomputers that take advantage of cloud technologies. Under a recently signed memorandum of understanding (MOU), researchers aim to enable next...

Lab offers forum on machine learning for industry

April 22, 2021- 
Lawrence Livermore National Laboratory (LLNL) is looking for participants and attendees from industry, research institutions and academia for the first-ever Machine Learning for Industry Forum (ML4I), a three-day virtual event starting Aug. 10. Pre-registrations are open for the forum, which aims to foster and illustrate the adoption of machine learning methods for practical industrial...

De Supinski named one of HPCwire’s 'People to Watch'

April 13, 2021- 
Bronis R. de Supinski, Lawrence Livermore National Laboratory’s (LLNL) chief technology officer (CTO) for Livermore Computing (LC), is one of the top influencers in the high performance computing industry for 2021, according to HPCwire. On April 7, the publication honored de Supinski as one of its "People to Watch," a group of 14 “innovators and visionaries building and deploying the...

COVID-19 HPC Consortium reflects on past year

April 1, 2021- 
COVID-19 HPC Consortium scientists and stakeholders met virtually on March 23 to mark the consortium’s one-year anniversary, discussing the progress of research projects and the need to pursue a broader organization to mobilize supercomputing access for future crises. The White House announced the launch of the public-private consortium, which provides COVID-19 researchers with free access...

Novel deep learning framework for symbolic regression

March 18, 2021- 
Lawrence Livermore National Laboratory (LLNL) computer scientists have developed a new framework and an accompanying visualization tool that leverages deep reinforcement learning for symbolic regression problems, outperforming baseline methods on benchmark problems. The paper was recently accepted as an oral presentation at the International Conference on Learning Representations (ICLR...

Lab event encourages growth of women in data science

March 17, 2021- 
Coinciding with International Women’s Day on March 8, Lawrence Livermore National Laboratory’s 4th Women in Data Science (WiDS) regional event brought women together to discuss successes, opportunities and challenges of being female in a mostly male field. The Lab’s first-ever virtual WiDS gathering attracted dozens of LLNL data scientists as well as some from outside the Lab, and...

Research uncovers missing physics in explosive hotspots

March 16, 2021- 
Research conducted on Lawrence Livermore National Laboratory’s (LLNL) supercomputer Quartz highlights findings made by scientists that reveal a missing aspect of the physics of hotspots in TATB (1,3,5-trimamino-2,4,6-trinitrobenzene) and other explosives. Hotspots are localized regions of elevated temperature that form from shock-induced collapse of microstructural porosity and are...