LLNL has developed a method that adds a polyamine based crosslinker and an acid receptor, based on MgO nanoparticles into a polymer bonded PBX, where the polymer binder is a fluoropolymer containing vinylidene difluoride functionality.  Crosslinking kinetics can then be controlled by selecting an appropriate amine structure, pressing temperature and optionally the addition of a chemical…

LLNL researchers uses Additive Manufacturing (AM) to create reinforcing scaffolds that can be integrated with High Explosives (HE) or solid rocket fuel with minimal volume fraction. Its main benefit is to create stability in harsh field conditions.  Its secondary benefit is providing another method to finely tune blast performance or fuel burn. Creating complex shapes with structural…

LLNL has developed a new active memory data reorganization engine. In the simplest case, data can be reorganized within the memory system to present a new view of the data. The new view may be a subset or a rearrangement of the original data. As an example, an array of structures might be more efficiently accessed by a CPU as a structure of arrays. Active memory can assemble an alternative…