In a significant stride toward implementing scalable climate solutions, LLNL scientists have uncovered how some carbon capture materials have improved lifetime compared to others. These materials are key in addressing greenhouse gas emissions and global warming concerns.

Three teams have been honored with the 2023 Director’s Science and Technology Awards. Their accomplishments made a significant impact on the Laboratory's mission and have been widely acknowledged internally and by the larger scientific community.

Members of LLNL’s Advanced Sources and Detectors (ASD) Scorpius accelerator team recently marked a major milestone in the project — the delivery of 24 line-replaceable units (LRUs), known as pulsers, forming a complete unit cluster.

LLNL's Wren Carr and Peter DeVore have been elected as senior members of SPIE, the international society for optics and photonics.

Research by LLNL and collaborators from Carnegie Mellon University demonstrates that crystal structure prediction is a useful tool for studying the various ways the molecules can pack together, also known as ubiquitous polymorphism, in energetic materials.

Nineteen papers covering a wide spectrum of research have received 2023 Director’s Excellence in Publication Awards. This honor acknowledges and rewards outstanding scientific and technical publications by Laboratory staff.

LLNL computational scientists worked with experimental collaborators at Lawrence Berkeley and Sandia national laboratories to design metal amide-based composites capable of overcoming key kinetic limitations in their performance as hydrogen storage materials.

The hardware included the U.S. Space Force’s Space Test Program Houston 9 (STP-H9) platform, which houses a prototype telescope designed and built by LLNL's Space Science and Security Program.

LLNL scientists David Gibson and Paul Pax have been named senior members of Optica (formerly OSA).

To advance the modeling and computational techniques needed to develop more efficient grid-control strategies under emergency scenarios, a multi-institutional team has used a LLNL-developed software capable of optimizing the grid’s response to potential disruption events under different weather scenarios, on Oak Ridge National Laboratory's Frontier supercomputer.