
This course provides an introduction to Computational Fluid Dynamics (CFD) with an emphasis on the fundamental principles that govern the implementation of CFD in practical applications.

Comprehensive exploration of computational fluid dynamics, covering mathematical foundations, discretization methods, and numerical techniques for solving fluid flow problems.

This course looks at all the aspects theoretical, numerical, and application aspects of computational fluid dynamics. Computational fluid dynamics (CFD) has become an essential tool in the analysis and design of thermal and fluid flow systems in a wide r…

Explore cutting-edge developments in high-order spectral element solvers for computational fluid dynamics, including multiphysics simulations and machine learning integration.

Explore finite element modeling of magnetic fields using Julia in this TU Delft master course. Implement mathematical models and collaborate on real-world projects with industry partners.

Explore machine learning techniques to enhance numerical PDE simulations, focusing on acceleration, surrogate modeling, and improved physical representation for complex physics and engineering systems.

Explora nuevos métodos de elementos finitos mixtos para difusión asistida por pseudoestrés, basados en espacios de Banach.

Aprofunde-se em métodos numéricos avançados para equações diferenciais parciais, explorando técnicas e aplicações em nível de doutorado.

Explore advanced numerical methods for solving partial differential equations in this doctoral-level lecture, focusing on cutting-edge techniques and applications in mathematical modeling.

Optimal convergence rates for Galerkin approximations of generalized Whittle-Matern fields in Hölder and Sobolev norms, covering spectral and finite element methods for Gaussian random fields.

Explore advanced finite element methods for non-variational elliptic PDEs, focusing on two-scale approaches, monotonicity enforcement, and novel error estimation techniques for complex mathematical problems.

Explore advanced numerical methods combining ALE approach and adaptive remeshing for finite element simulations, enhancing accuracy and efficiency in complex engineering problems.

Explores Multiscale Hybrid Mixed method for polygonal meshes, discussing upscaling, flux reconstruction, and a new variant with elliptic problems. Covers applications and collaborations in computational mathematics.

Explores discrete minimizers of Ginzburg-Landau energy in finite element spaces, focusing on parameter κ's influence on vortex lattices and mesh resolution conditions for accurate numerical simulations.

Explore microstructure modeling using OOF2 and OOF3D. Learn to assign material properties, construct finite-element meshes, and perform virtual experiments to investigate structure-property relationships.

Explore scalable component reduced order modeling for efficient large-scale simulations, combining Discontinuous Galerkin Domain Decomposition and proper orthogonal decomposition to accelerate scientific technology transition.

Explore an open-source electromagnetic simulator for S-parameter calculations, featuring adaptive mesh refinement, arbitrary order finite elements, and parallel processing using MFEM.

Explore high order discontinuous Galerkin methods for nonlinear conservation laws, focusing on entropy stability and positivity preservation in numerical solutions.

Explore homogenized energy theory for solving elasticity problems, addressing limitations in classical continuum mechanics and offering insights into size effects and stress singularities.

Explore advancements in hybridizable discontinuous Galerkin methods for high-order finite element calculations, featuring flexible implementations for diverse PDEs and applications.

Explore recent advancements in MFEM, including GPU optimizations, new mini-apps, and integrations with scientific software libraries for high-order finite element calculations.