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Explore U.S. homeland missile defense strategies and potential expanded roles with expert Rob Soofer. Gain insights into current systems and future developments in national security.
Discover how multi-stage neural networks can achieve machine-precision accuracy in scientific predictions, addressing spectral bias and improving deep learning applications in multiscale physics problems.
Explore advanced level-set topology optimization techniques using PDE-based approaches for multi-material design problems, featuring MFEM's high-order mathematical framework for efficient scientific simulations.
Explore advanced hybridization techniques for convection-diffusion systems using MFEM's framework, focusing on efficient computational solutions and practical implementation methods.
Explore advanced numerical integration techniques for accelerating isogeometric analysis and reduced order models through sparse quadrature methods in finite element computations.
Discover a novel matrix-free discontinuous Galerkin approach for mitigating rays-effect in phase-space advection, optimizing deterministic transport simulations through advanced coordinate transformations and efficient computation.
Discover advanced techniques for arbitrary point interpolation in high-order mesh computations, focusing on GPU optimization and parallel processing for efficient scientific simulations.
Discover how to leverage automatic parameter sensitivities in Serac for engineering applications, featuring robust nonlinear solvers, coupled thermal-mechanics, and differentiable material models for optimization workflows.
Delve into Stuart Russell's expert analysis of artificial general intelligence (AGI), exploring its potential implications, risks, and the crucial need for developing provably beneficial AI systems.
Explore data-driven techniques for analyzing turbulent flows, including SPOD extensions, gappy-data reconstruction, and bispectral mode decomposition. Gain insights into coherent structures and nonlinear interactions in fluid dynamics.
Explore non-intrusive methods for computing reduced-order models, focusing on systems with large-amplitude transient growth. Learn techniques to identify oblique projection operators and reduced-order dynamics from data.
Explore Flux, a flexible resource management framework for HPC systems, through hands-on demonstrations and practical applications.
Explore cutting-edge developments in high-order spectral element solvers for computational fluid dynamics, including multiphysics simulations and machine learning integration.
Explore AI-driven mesh generation for efficient simulations, optimizing design processes and reducing environmental impact in computational fluid dynamics and finite element analysis.
Explore ontologies, graph deep learning, and AI in materials science, focusing on advanced manufacturing and synchrotron science. Learn about innovative approaches for multimodal analysis and decision-making.
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