LLNL researchers continue to capture key DOE grants focused on funding projects aimed at delivering clean energy solutions to the market.
Science and Technology Highlights
LLNL scientists and engineers look to incorporating machine learning (ML) and artificial intelligence to accelerate design of lattice structures.
LLNL researchers and collaborators examine Iceland's core to discover clear evidence of ice-free times.
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.
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.