
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 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.

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 high-order finite element methods for shock hydrodynamics simulations, covering Lagrangian mechanics, mesh optimization, and remap phases in ALE formulation.

Explore FEniCSx, the next-gen finite element library. Learn design improvements, high-performance kernels, and flexible solver creation in C++ or Python for partial differential equations.

Explore numerical methods for solving partial differential equations, focusing on techniques essential for gravitational wave astronomy and computational relativity.

Explore innovative wave scattering solutions in complex media using the Half-space Matching Method, offering efficient alternatives to traditional computational techniques.

Explore efficient foundation models for PDEs with Poseidon, focusing on innovative techniques and applications in computational science.