Date: April 9 - 11, 2025
As part of a broader initiative to expand collaboration between U-M and LANL in the space of high-performance computing, this workshop will bring together experts from both institutions to explore opportunities in modeling reactive flow in both research and engineering applications. Discussions will focus on integrating high-fidelity simulations with efficient data processing frameworks, artificial intelligence, and machine learning to enhance predictive capabilities for complex fluid dynamics.
POCs: Chris Ticknor (LANL, cticknor@lanl.gov) and Rebecca Lindsey (Michigan, rklinds@umich.edu)
Date: TBA
This workshop will focus on materials and processes relevant to LANL's national and energy security priorities. The focus is on advanced metallic alloys for structural applications, including materials in extreme environments (e.g., relevant to nuclear energy) and advanced manufacturing (e.g., additive manufacturing and thermomechanical processing).
Experiments, in-situ/ex-situ characterization, theory, modeling/simulation, sensors and diagnostics, data science and machine learning/artificial intelligence, the science of scale up relevant to advanced manufacturing, and processing, structure, property, performance relationships are of interest.
POCs: Amy Clarke (aclarke@lanl.gov), Tarik Saleh (tsaleh@lanl.gov), LANL
Amit Misra (amitmis@umich.edu), Michigan
Date: May/June TBA
POCs: TBA
Date: Fall 2025
POCs: TBA
Date: August/September TBA
POCs: TBA