Science and Technology Highlights

LLNL analysis shows modest growth in overall U.S. energy use, record natural gas and renewable consumption and substantial differences among states.
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Natural gas and renewable energy consumption reached record levels in the U.S. in 2024, while overall energy use increased modestly, according to the latest U.S. energy flow chart released by LLNL.
LLNL researchers replicated the complex architecture of the small intestine, as seen on the computer monitor, for a novel gut-on-a-chip microfluidic device. Shown here are Lindy Jang, lead author on a publication about the work, and Michael Triplett, the chip designer
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LLNL is poised to learn much more about the gut and its pivotal role, thanks to a breakthrough by a team of researchers who replicated the gut in three dimensions, with all its spectacular architecture and activity, on a fluidic chip the size of a microscope slide.
Lawrence Livermore National Laboratory researchers (from left) data scientist Michael Zelinski, engineer Hamed Ziad Ammar and principal investigator Brian Giera stand beside the direct-ink writing 3D printer used to collect data for a camera-based inspection system that uses AI and machine learning to measure part quality during printing.
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Scientists and engineers at LLNL have developed a camera-based inspection system that can monitor complex 3D-printed structures layer by layer, using AI and machine learning (ML) to measure tiny variations and potentially identify problems before a part ever leaves the printer.
Interphases — the multicomponent interlayer structures that emerge between electrodes and electrolytes in batteries — critically determine the performance and durability of electrochemical cells.
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In a recent study, published in Advanced Energy Materials, researchers at LLNL used large-scale molecular dynamics simulations accelerated by machine learning, combined with data-driven analysis, to tackle this challenge.
LLNL collaborated with Rocket Lab and the U.S. Space Force to rapidly deploy an advanced optical payload for the VICTUS HAZE mission, demonstrating a new inspection capability for space domain awareness.
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A team of scientists at LLNL partnered with Rocket Lab and the U.S. Space Force (USSF) Space Systems Command (SSC) to deliver an optical payload for the VICTUS HAZE tactically responsive space (TacRS) mission under the Space Safari program office.
Lawrence Livermore National Laboratory’s Collaborative Heavy-lift Aerial unManned Propellor Systems (CHAMPS) team participated in the Defense Advanced Research Projects Agency’s Lift Challenge held in Dayton, Ohio. CHAMPS team left to right: Claire Knight, James Reimer, Marcus Worsley, Brian Wihl, Giovanna Bucci, Kenneth Entrom and Erika Ramos. Additional team members include Marissa Wood, Afolabi Olayiwola and Victoria Trang. (Photo: Garry McLeod/LLNL)
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A team of LLNL scientists and engineers pushed the limits of unmanned aerial systems to earn a place at the DARPA Lift Challenge, hosted by the Defense Advanced Research Projects Agency (DARPA).
LLNL and NIST researchers have found a more robust method for entangling qubits by applying a ramped force (top). The approach controls trajectories in phase space (bottom) and allows for more precise entanglement control.
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In a new study, published in Physical Review Letters, researchers at Lawrence Livermore National Laboratory (LLNL) and the Ion Storage Group at the National Institute of Standards and Technology in Boulder, Colorado, created a robust process for entangling trapped-ion qubits.
TRISO fuel is made of tiny fuel particles, about the size of poppy seeds. Each particle is sealed inside several strong layers of carbon and ceramic materials. These layers help keep radioactive materials contained, even under extreme conditions such as high temperatures, corrosion, oxidation, and intense radiation.
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Through a Strategic Partnership Project with micronuclear reactor startup AMPERA, LLNL engineers are applying a novel metallic-particle manufacturing capability toward producing this robust nuclear fuel.
The LLNL team precisely measured plutonium-241 beta decays to search for production of exotic heavy neutrinos, a warm dark matter candidate, to explain the missing mass of the universe. The photograph shows a dilution refrigerator used to cool the experiment to 0.01 Kelvin
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In a new experimental campaign called Magnetometry for Neutrino physics (Magneto-ν), scientists at LLNL are searching for the sterile neutrino using nuclear beta decays of plutonium-241.

A simulation from the study shows density (top) and temperature (bottom) just before the time when fusion reactions peak in an asymmetric implosion. The hottest point coincides with the densest point of fuel, illustrating the direct ignition of a dense jet of fuel driven by asymmetry. The image was recently selected for the cover of Physics of Plasmas.
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Researchers at LLNL have found that implosions designed for inertial fusion energy (IFE) can tolerate significant imperfections before performance abruptly declines, a finding that could inform the design of fuel targets for future fusion power plants.