Science and Technology Highlights

LLNL scientists along with collaborators from the University of California, Davis have adapted previously described engineered bone marrow (eBM) for use as a 3D platform to study how microenvironmental and immune factors affect OS tumor progression.

Researchers from Lawrence Livermore used LLNL’s nanoSIMS to understand and quantify the role of the algal microbiome in processing algal carbon (C) and nitrogen (N). The research appears in Nature Communications.

Engineers and chemists at LLNL and Meta have developed a new kind of 3D-printed material capable of replicating characteristics of biological tissue, an advancement that could impact the future of “augmented humanity.”

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.

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.

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.

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.

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.