LLNL researchers and collaborators examine Iceland's core to discover clear evidence of ice-free times.
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LLNL scientists develop an efficient and comprehensive computational framework to decipher implications of porous microstructures and their properties.
Using thin film nickel anodes, a team of LLNL scientists and collaborators figure out how to clean up chemical production.
LLNL researchers retrospectively confirm that implosion asymmetry was a major aspect for fusion experiments.
LLNL scientists use ultra-fast X-ray probes to track the thermal response of aluminum and zirconium on shock release from experiments.
LLNL scientists find that pure metallic carbon nanotubes are best at transporting molecules.
LLNL scientists develop a machine-learning model to gain an atomic-level understanding of CO2 capture in amine-based sorbents.
Bruno Van Wonterghem, operations manager at LLNL's National Ignition Facility (NIF), was awarded a 2024 Distinguished Career Award by Fusion Power Associates (FPA).
LLNL scientists and a collaborator at University of Texas at Austin turn to simulations to explain the first-order response of confined water to applied electric fields.
LLNL researchers make advancements in understanding and resolving the long-standing "drive-deficit" problem in indirect-drive ICF experiments.