Shockless compression experiments establish new pressure scales.

Livermore researchers build confidence in materials modeling using a statistics-based approach for assessing sources of uncertainty in material strength research.

A recent paper examines the various experimental techniques and key findings of material states under extreme high energy density (HED) conditions based on work conducted at Livermore and other facilities around the world.

Meta and targeted genomic analysis and machine learning predict wound healing outcomes and lay the groundwork to potentially save lives.

Livermore and Sandia national laboratories continue their longstanding collaboration on high-energy-density research.

To help the United States fight the COVID-19 pandemic, Lawrence Livermore did what it does best: quickly bring together interdisciplinary teams and diverse technologies to address urgent national challenges.

A research team has created machine learning models that can predict molecules’ crystalline properties from their chemical structures alone, such as molecular density.

A Livermore team has taken a closer look at how nuclear weapon blasts close to the Earth’s surface create complications in their effects and apparent yields.

Two scientists from Livermore are recipients of the 2021 Department of Energy’s Office of Science Early Career Research Program award.

Livermore began investigating controlled thermonuclear reactions and fusion early in its history