
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 Bayesian inversion of acoustic-gravity models for predictive tsunami simulation, focusing on real-time monitoring and early-alert systems using near-field data observation.

Explore an efficient discontinuous Galerkin scheme with auxiliary space preconditioning for solving diffusion equations with strong anisotropy, focusing on magnetic confinement fusion applications.

Explore high-order finite element methods, GPU acceleration, and matrix-free solvers for scientific simulations using MFEM. Learn about low-order-refined preconditioning and adaptive mesh refinement.

Explore OpenParEM2D, a free 2D electromagnetic simulator for guided waves and transmission lines. Learn its capabilities, methodology, and applications in this insightful presentation.

Explore recent developments in MFEM, including sub-mesh extraction, GPU-based calculations, and integrations with scientific software libraries for high-order finite element simulations.

Explore GPU-accelerated solver for highly compressible flows, enhancing efficiency in scientific simulations across various applications. Learn about blastFEM's capabilities for next-generation computational modeling.

Explore reduced order modeling techniques for finite element simulations using MFEM and libROM. Learn to lower computational complexity while maintaining accuracy in various scientific applications.

Explore shape and topology optimization using MFEM and LiDO for high-order calculations in scientific simulations, featuring multi-material geometries and HPC-powered design tools.

Explore electromagnetic RF-edge interactions in fusion devices using MFEM. Develop a parallelized cold-plasma wave equation solver with non-linear sheath impedance boundary conditions for accurate simulations.

Explore Rodin, a C++17 framework for shape, density, and topology optimization. Learn its functionalities, from refining shapes to solving variational problems in scientific simulations.

Explore high-order mathematical calculations for EEG source localization using MFEM. Learn to solve the EEG forward problem with patient-specific geometry and tissue conductivity from medical images.

Explore stochastic fractional PDEs, Gaussian random fields, and topology optimization using MFEM. Learn numerical solutions and applications in scientific simulations and additive manufacturing.

Explore advanced radio-frequency wave simulation techniques in hot magnetized plasma, focusing on innovative approaches to construct dielectric operators with all-order finite Larmor radius effects.

Discover advanced techniques for arbitrary point interpolation in high-order mesh computations, focusing on GPU optimization and parallel processing for efficient scientific simulations.

Discover advanced geometric containment query techniques for 2D regions using rational Bezier curves and generalized winding numbers, enabling efficient multiphysics simulations without expensive refinement processes.

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.