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Engineering
LLNL and KCNSC team up to accelerate design-to-deployment with new polymer production enclave
A polymer production enclave, in partnership with the Kansas City National Security Campus (KCNSC) and Lawrence Livermore National Laboratory (LLNL), is on budget and on schedule to bring modern technology into the Nuclear Security Enterprise. The enclave will enable rapid development of design and production processes of polymer parts for modernization programs. This…
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…
It’s no drag: New heavy vehicle design increases fuel efficiency, cuts carbon emissions
Reshaping the exterior of heavy vehicles, such as semitrucks, so that they are aerodynamically integrated along their entire length in a smooth, continuous fashion could reduce drag, increase fuel efficiency and cut carbon emissions. Using wind tunnel measurements and computational fluid dynamics simulations, Lawrence Livermore National Laboratory (LLNL) engineers have…
Taking cues from nature, breakthrough ‘cellular fluidics’ technology could have sweeping impacts
Inspired by the way plants absorb and distribute water and nutrients, Lawrence Livermore National Laboratory (LLNL) researchers have developed a groundbreaking method for transporting liquids and gases using 3D-printed lattice design and capillary action phenomena. In a paper published today in Nature and featured on the publication’s cover, LLNL researchers describe 3D…
Lawrence Livermore team designs semiconductor switch for next-generation communications
Lawrence Livermore National Laboratory (LLNL) engineers have designed a new kind of laser-driven semiconductor switch that can theoretically achieve higher speeds at higher voltages than existing photoconductive devices. The development of such a device could enable next-generation satellite communication systems capable of transferring more data at a faster rate, and over…
LLNL/Tyvak space telescope goes into orbit
Thousands of images of Earth and space have been taken by a compact space imaging payload developed by Lawrence Livermore National Laboratory (LLNL) researchers and its collaborator Tyvak Nano-Satellite Systems. Known as GEOStare2, the payload has two space telescopes that together have taken more than 4,500 pictures for space domain awareness, astronomy and Earth…
Army reservists a vital part of Lab’s workforce
Lawrence Livermore National Laboratory (LLNL) joins in the celebration of the U.S. Army birthday on June 14. Created in 1775, the army originally consisted of volunteer soldiers with roots to the Continental Army — and was formed to fight the Revolutionary War. Today, as the largest branch of the country’s military, the proud men and women of the U.S. Army continue to…
Machine learning aids in materials design
A long-held goal by chemists across many industries, including energy, pharmaceuticals, energetics, food additives and organic semiconductors, is to imagine the chemical structure of a new molecule and be able to predict how it will function for a desired application. In practice, this vision is difficult, often requiring extensive laboratory work to synthesize, isolate,…
DOE honors two early career Lab scientists
Two scientists from Lawrence Livermore National Laboratory (LLNL) are recipients of the 2021 Department of Energy’s (DOE) Office of Science Early Career Research Program award. Andrea Schmidt and Xue Zheng are among 83 scientists nationwide selected for the recognition. Under the program, typical awards for DOE national laboratory staff are $500,000 per year for five years…
LLNL-patented power grid technology could reduce global CO2 emissions by 10 percent or more
To address inefficiencies in transmitting electricity over smart grids, engineers at Lawrence Livermore National Laboratory (LLNL) and their collaborators have developed a light-activated switch that, if fully deployed, could reduce carbon emissions by more than 10 percent. Capable of sending high-voltage, direct-current power along grid lines and switching high voltages…
LLNL-developed thin-film electrodes reveal key insight into human brain activity
Thin-film electrodes developed at Lawrence Livermore National Laboratory (LLNL) have been used in human patients at the University of California, San Francisco (UCSF), generating never-before-seen recordings of brain activity in the hippocampus, a region responsible for memory and other cognitive functions. In a study published today in the journal Nature Communications,…
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…
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…
Lab offers forum on machine learning for industry
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…
LLNL researchers and business development executives capture best-ever three technology transfer awards
Researchers from Lawrence Livermore National Laboratory (LLNL) and their colleagues who help them commercialize technologies have won three national technology transfer awards this year. The trio of awards, from the Federal Laboratory Consortium (FLC), represent the most national awards that LLNL has ever won in one year’s competition over the past 36 years. Two of the…
Scientists put additive manufactured foams to the test
Lawrence Livermore National Laboratory (LLNL) scientists recently published the results of a three-week experimental campaign at the Lab’s Jupiter Laser Facility to test the performance of laser-heated additive manufactured foams. The project helps support two major Laboratory focus areas, including helping to advance additive manufacturing and by enabling improvements in…
Scientists put additive manufactured foams to the test
Lawrence Livermore National Laboratory (LLNL) scientists recently published the results of a three-week experimental campaign at the Lab’s Jupiter Laser Facility to test the performance of laser-heated additive manufactured foams. The project helps support two major Laboratory focus areas, including helping to advance additive manufacturing and by enabling improvements in…
'Self-trained' deep learning to improve disease diagnosis
New work by computer scientists at Lawrence Livermore National Laboratory (LLNL) and IBM Research on deep learning models to accurately diagnose diseases from X-ray images with less labeled data won the Best Paper award for Computer-Aided Diagnosis at the SPIE Medical Imaging Conference on Feb. 19. The technique, which includes novel regularization and “self-training”…
