The Lawrence Livermore Nationality Laboratory (LLNL) was founded by the University of California in 1952. The US Department of Energy funds LLNL and is managed by Lawrence Livermore Nationality Security, LLC. LLNL's primary purpose is scientific research and investigations pertaining to national security, including weapons of mass destruction, non-destructive testing, nuclear power, all forms of energy including wind, solar and the like. LLNL is an expert on x-ray and the development of new techniques to evaluate radiation and a host of new imaging devices for testing devices.
Software
As of 2020, 102.9 million smart meters—devices that record and communicate electric consumption, voltage and current to consumers and grid operators—have been installed in the United States.
Aug 03, 2022
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Business
Researchers from Lawrence Livermore National Laboratory (LLNL) have devised a physics-based cryptocurrency that links electrical energy and blockchain technologies in a new way.
Jun 13, 2022
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Hi Tech & Innovation
The National Aeronautics and Space Administration (NASA) announced April 15 it has awarded Lawrence Livermore National Laboratory (LLNL) and a private company with funding to develop LLNL's revolutionary volumetric additive ...
Apr 21, 2022
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Energy & Green Tech
The national economy is reenergizing, quite literally.
Apr 11, 2022
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Energy & Green Tech
Lawrence Livermore National Laboratory (LLNL), Penn State (PSU) and University of Arizona (UA) researchers are partnering with industry collaborator Western Rare Earths (WRE), U.S. subsidiary of American Rare Earths Limited, ...
Feb 11, 2022
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Engineering
Solid electrolytes may overcome key technological hurdles associated with the narrow electrochemical and thermal stability of conventional lithium (Li)-ion and sodium (Na)-ion batteries.
Jan 24, 2022
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Automotive
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 ...
Jul 02, 2021
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Computer Sciences
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 ...
Mar 19, 2021
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Energy & Green Tech
Lawrence Livermore National Laboratory (LLNL) has updated its energy flow charts to include state-by-state energy use for 2015-2018. It also has released carbon emissions charts that depict a breakdown of all 50 states' carbon ...
Jul 29, 2020
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Computer Sciences
Surrogate models supported by neural networks can perform as well, and in some ways better, than computationally expensive simulators and could lead to new insights in complicated physics problems such as inertial confinement ...
Jun 18, 2020
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