Core Competencies are a key priority for our LDRD research portfolio. Looking ahead, three strategic areas of focus in LDRD will be emphasized in FY27: advances in HED Science, including two avenues of exploration, one in high yield facility (HYF) definition and the other, inertial fusion energy (IFE); advanced materials and manufacturing (AMM); and artificial intelligence (AI). These three areas were prioritized by the Senior Leadership Team and are further described below:
Advanced Materials and Manufacturing
New breakthroughs in AMM will accelerate the discovery, design, and deployment of novel materials with tailored properties for extreme environments and/or challenging design requirements. Integrating AI and machine learning with experimental workflows will dramatically reduce the design-todeployment timeline for new alloys, energetic materials, and advanced components. These efforts not only support modernization of the nuclear stockpile and the broader security enterprise but also drive innovation in energy, aerospace, and industrial applications, ensuring LLNL continues to work at the forefront of materials science and manufacturing technologies.
HED Science
Within HED science, two complementary avenues of exploration are underway: one in the definition of a high yield facility (HYF) and the other, inertial fusion energy (IFE). While funding sources and key stakeholders differ between these realms, they both require an interwoven set of technical strengths: laser performance, advanced materials, and target design. Deep understanding and experimental investigation of HYF elements are essential for addressing key questions in nuclear deterrence and for making advances toward the potential of fusion energy. The DOE released its Fusion Science and Technology Roadmap in October 2025, outlining a national strategy to accelerate the development and commercialization of fusion energy. A HYF is a critical next step needed to support stockpile science. Further research in IFE science will advance the foundational S&T required to realize fusion
as a practical energy source. IFE research not only strengthens LLNL’s efforts in stockpile management and modernization but also positions the Laboratory as a key contributor in the national and international fusion energy community. LLNL is building on a legacy of HED science and contributions from industry partners to enable new exploration for a HYF and IFE.
Artificial Intelligence
Artificial Intelligence continues to be a focus for LLNL’s research portfolio; AI is fundamentally reshaping scientific discovery, mission delivery, and operational efficiency. Previous LDRD support has helped develop advanced machine learning algorithms, trustworthy and safe AI systems, and automation for experimental and manufacturing platforms. By harnessing AI in a variety of scientific domains, from biology and drug design to manufacturing and energy dominance, researchers can achieve rapid data analysis and adaptive experimental design, while accelerating hypothesis generation and testing. Partnering with industrial and academic colleagues and revamping internal processes ensures that LLNL’s research supports U.S. leadership in the global AI landscape.