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Machine learning accelerates high-performance materials development
Feb. 13, 2020 -
Lawrence Livermore National Laboratory (LLNL) and its partners rely on timely development and deployment of diverse materials to support a variety of national security missions. However, materials development and deployment can take many years from initial discovery of a new material to deployment at scale. Now, an interdisciplinary team of LLNL researchers from the Physical and Life Sciences...
Department of Energy researchers share data management strategies at first-ever “Data Day”
Nov. 11, 2019 -
It’s become something of a mantra of the digital age: Data is the new currency. Especially in science, where it’s hard to find a single project that doesn’t involve generating or consuming massive amounts of data.
In light of the growing awareness of the critical importance of data management across the Department of Energy complex, more than 100 researchers from DOE national laboratories...
Big data illuminates the physical sciences
Nov. 6, 2019 -
Livermore teams are applying innovative data analysis and interpretation techniques to advance fundamental science research. This article describes projects in astrophysics and materials science. Read more at Science & Technology Review.
Lab leads effort to model proteins tied to cancer
Oct. 31, 2019 -
Computational scientists, biophysicists and statisticians from LLNL and Los Alamos National Laboratory(LANL) are leading a massive multi-institutional collaboration that has developed a machine learning-based simulation for next-generation supercomputers capable of modeling protein interactions and mutations that play a role in many forms of cancer. Read more at LLNL News.
Successful simulation and visualization coupling proves the power of Sierra
Oct. 22, 2019 -
As the first National Nuclear Security Administration (NNSA) production supercomputer backed by GPU- (graphics processing unit) accelerated architecture, Sierra’s acquisition required a fundamental shift in how scientists at Lawrence Livermore National Laboratory (LLNL) program their codes to take advantage of the GPUs.
The majority of Sierra’s computational power—95 percent of its 125...
Cindy Gonzales forges a new career in data science
Sept. 25, 2019 -
Through LLNL’s Data Science Immersion Program, Gonzales is now among the Lab’s newest data scientists. For two and a half years, she juggled a demanding workload—coordinating Computing’s Scholar Program, interning with data scientists, learning from mentors, supporting LLNL’s Data Science Institute, and attending college part time—while also having her first child. Read more at LLNL Computing...
Collaboration drives data science workshop
Sept. 12, 2019 -
Lawrence Livermore National Laboratory’s (LLNL’s) Data Science Institute (DSI) hosted its second annual workshop on July 23–24, 2019. Co-sponsored by the University of California (UC) system, the event drew more than 200 participants to Garré Winery in Livermore. A common theme ran throughout both days: Collaboration is always welcome.
Indeed, feedback from last year’s workshop inspired a...
Two-week workshop lets UC Merced students step into shoes of Lab computer scientists
June 12, 2019 -
From May 20-31, 21 undergraduate and graduate students, many of them first-generation college students, interned at the Lab. While they were on site, the students, along with their Lab mentors, were tasked with using machine learning and other computational methods to tackle real-world problems in computational immunology. Read more at LLNL News.
NFL comes to Lab to hear latest on TBI research
June 5, 2019 -
Officials from the National Football League visited LLNL to hear how the Department of Energy’s national laboratories are using high-performance computing and artificial intelligence to advance scientific understanding of traumatic brain injury (TBI). Read more at LLNL News.
Researchers explore machine learning to automate sorting of microcapsules in real-time
April 16, 2019 -
Micro-Encapsulated CO2 Sorbents (MECS) — tiny, reusable capsules full of a sodium carbonate solution that can absorb carbon dioxide from the air — are a promising technology for capturing carbon from the atmosphere. To create the caviar-like objects, scientists run three fluids through a series of microfluidic components to create drops that turn into capsules when exposed to ultraviolet...
Multi-institutional meeting centers on making the 'impossible' possible in cancer research
March 22, 2019 -
Computer scientists, biomedical engineers, cancer biologists and bioinformaticians from eight Department of Energy national laboratories, health-related government agencies and universities converged at LLNL March 6-7 to discuss ongoing efforts to advance cancer research through computation, identify existing challenges and brainstorm future multidisciplinary projects. Read more at LLNL News...
CASC research showcased at major data science venues
March 20, 2019 -
Researchers from LLNL’s Center for Applied Scientific Computing (CASC) are among the Lab’s employees making waves in the data science community, with many prominent accolades, publications, and acceptances in 2018. Data science encompasses some of the hottest technology topics—machine learning (ML), “big data” analysis, artificial intelligence, computer vision, and more—and the Center’s...
ESGF conference caps a productive year
Feb. 12, 2019 -
Members of the Earth System Grid Federation (ESGF) gathered in Washington, DC, on December 3–7 for the 8th annual conference. The event packed 40 presentations, several plenary sessions, a poster session, guest speakers, an awards ceremony, and an executive committee meeting into the week. The Lawrence Livermore National Laboratory (LLNL) delegation comprised 19 staff from the Computation and...
Dispatches from the fall hackathon
Dec. 18, 2018 -
This recap of LLNL's seasonal hackathon was provided by the web team that manages several LLNL websites. Mike Goldman, director of the Data Science Institute (DSI), stopped by the team's table during the hackathon to discuss the Open Data Initiative. Read more at LLNL Computing.
DSI kicks off 'bull sessions' for data science enthusiasts
Oct. 18, 2018 -
In upholding its mission of centralizing data science activity at LLNL, the DSI launched an informal event series on July 25, 2018. The new “bull sessions” are intended to facilitate networking, brainstorming, and problem-solving among data scientists and engineers across the Lab.
Dan Faissol, a member of DSI’s Data Science Council, states, “We hope these bull sessions will also serve as a...
LLNL explores machine learning to prevent defects in metal 3D-printed parts in real time
Sept. 13, 2018 -
LLNL researchers have developed machine learning algorithms capable of processing the data obtained during metal 3D printing in real time and detecting within milliseconds whether a 3D part will be of satisfactory quality. Read more at LLNL News.
Data science workshop embraces multidisciplinary community
Aug. 28, 2018 -
Since launching in early 2018, Lawrence Livermore National Laboratory’s (LLNL’s) Data Science Institute (DSI) has hit the ground running with a series of seminars, collaborative sessions, reading groups and other activities for the LLNL data science community. On August 7–8, 2018, the DSI hosted its inaugural offsite workshop, which was co-sponsored by the University of California (UC).
More...
New Data Science Institute supports explosive growth of data science
March 8, 2018 -
The Data Science Institute (DSI) is a new multidisciplinary entity supporting growth in this field both across Lawrence Livermore National Laboratory (LLNL) programs and among the external data science community. The DSI is designed to facilitate mission-driven data science through a cohesive vision, increased collaboration, and targeted outreach and recruiting. The DSI is led by Michael...