LLNL scientists and engineers look to incorporating machine learning (ML) and artificial intelligence to accelerate design of lattice structures.

LLNL Zhi Liao has been elected as a senior member of SPIE, the international society for optics and photonics. 

LLNL researchers have been named senior members of Optica in recognition for more than 10 years of professional experience in optics or an optics-related field.

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.