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    Automatic Parameter Sensitivities in Serac for Engineering Applications

    Inside Livermore Lab0.0
    28 minutes
    English
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    Automatic Parameter Sensitivities in Serac for Engineering Applications

    YouTube·MFEM

    Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn about automatic parameter sensitivity calculations for topology and shape design optimization workflows in this technical presentation from the 2024 MFEM Workshop. Explore a framework built on MFEM infrastructure that provides abstractions for specifying, solving, coupling, and differentiating new PDEs for engineering applications. Discover recent developments in Serac including robust nonlinear solvers, Tribol library integration for contact enforcement, coupled thermal-mechanics, differentiable material model library, and checkpointing capabilities for transient adjoint calculations. Gain insights from LLNL researcher Michael Tupek on how these tools enable more efficient large-scale scientific simulations through high-order mathematical calculations and discretization algorithms.

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