Research, develop, and routinely apply world-leading computational methods, approaches, applications, and technologies to solve Los Alamos’s most computationally challenging science and security problems.
- Develop and gain approval for a decadal plan to ensure competitive, robust, and sustainable energy and facilities infrastructure to meet ATS-5 and ATS-7 deployment timeframes. The initiative will target a 2027 timeframe for a next-generation HPC facility based on current weapons program milestones. Facility selection will examine options for both on-campus and off-campus locations.
- Meet performance targets for weapons simulations on Crossroads by 2023.
- Demonstrate the capabilities of the Laboratory’s next-generation code project on El Capitan by 2024.
- Demonstrate and utilize the capabilities of Venado to increase predictive capabilities qualitatively through improved three-dimensional (3D) multi-physics simulations and advanced machine learning techniques, enabling a broad set of science and security breakthroughs by 2024.
- By 2024, develop and document an ATS-5-associated strategy to achieve multi-physics simulation workflows within a human learning cycle.
- Explore, develop, and incorporate high-fidelity computational exploration of narrative uncertainties into programmatic mission-critical assessments.
- Accelerate fundamental and applied computational and data science R&D efforts, including artificial intelligence and machine learning (AI/ML) technologies, to enable achievement of Lab Agenda critical outcomes for LANL priority areas.
- Strengthen and diversify the associated pipeline across the LANL information science and technology community.
- Develop and apply computational tools that improve prediction of high-explosives behavior in full weapons stockpile-to-target-sequence (STS) regimes.
- Develop and apply computational methods that accelerate design for manufacturing.
- Develop infrastructure to support the next generation HPC facility as a future national resource for the ASC Tri-Lab program, which will include high-density/high-efficiency computing capability.