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Explore MFEM's enhanced capabilities through libCEED integration, including support for simplices, mixed meshes, and p-adaptivity. Discover performance gains across various HPC architectures.
Explore scalable design and optimization using MFEM for large-scale scientific simulations. Learn about topology and shape optimization algorithms, gradient-based techniques, and implementation strategies for industrial problems.
Explore cutting-edge finite element research through student presentations on topics like µFEA, entropy stabilization, Maxwell's equations, and thermo-mechanical solves using MFEM.
Explore cutting-edge research in high-order mathematical calculations for scientific simulations through student presentations on neural networks, GPU acceleration, and Monte Carlo methods.
Explore Palace, a parallel finite element code for full-wave electromagnetics simulations, and its capabilities for large-scale 3D modeling in quantum computing hardware design.
Explore MFEM's key capabilities, recent developments, and future directions in high-order finite element methods for scientific simulations.
Explore advanced multi-variate statistical techniques for scientific data analysis, focusing on higher-order methods like coskewness and cokurtosis for rare event detection and dimensionality reduction in complex systems.
Explore probabilistic methods for data-driven reduced-order modeling, including Gaussian process regression, deep kernel learning, and Bayesian reduced-order operator inference for efficient multi-query simulations and digital twinning.
Explore China's climate security vulnerabilities and their implications for US policy with expert Erin Sikorsky.
Explore the 2023 Biodefense Posture Review with experts Richard C. Johnson and Brandi C. Vann, gaining insights into current biodefense strategies and policies.
Explore the captivating journey of Robert "Hoot" Gibson, from naval aviator to NASA astronaut, as he shares his remarkable experiences and insights.
Explore a transformational approach to dynamics using the Heisenberg Scattering Transformation, applied to create fast surrogate models for 2D pulsed power liner implosions in MagLIF.
Explore data-driven balanced truncation for predictive model reduction in dynamical systems. Learn about system theoretic principles, ERA, and computational challenges in complex setups.
Explore generalizing scientific machine learning beyond continuous models, covering differentiable simulation for chaotic systems, stochastic processes, and inverse problems in advanced scientific computing.
Explore novel approaches to discretization and AMG solvers for extremely anisotropic diffusion problems, focusing on hyperbolic operator techniques for improved accuracy and efficiency in complex heat conduction scenarios.
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