On Thursday, 15 January 2026, Simone Chiocchetti visited students of the 11. Klasse at Kreuzgasse Gymnasium in Cologne for an interactive meeting on computational physics, engineering, and applied mathematics, with a particular focus on the numerical simulation of fluids.
The discussion covered a wide range of topics: from the mathematical foundations of partial differential equations and their discretization, to real-world applications in civil engineering, astrophysics, and industrial design. Students learned how researchers model phenomena ranging from river floods and debris flows to turbulence in aerodynamics, and why such simulations matter when experiments are expensive, dangerous, or simply impossible. The conversation also touched on the practical challenges of supercomputing, multiphase flows one can observe in a cup of coffee, and the surprising behavior of steel structures under large deformations.
The students participated actively throughout, contributing thoughtful questions on subjects including chaos in planetary orbits and its connection to fluid turbulence, the multiscale nature of turbulent flows, and the computational tricks needed to make large simulations feasible.
Many thanks to the students for their engagement and curiosity, and to Markus Klein, their physics teacher, for contributing to organizing the event.
This activity is funded by the European Union’s Horizon Europe Research and Innovation Programme under the Marie Skłodowska-Curie Postdoctoral Fellowship MoMeNTUM (grant agreement No. 101109532).
Author Archives: Sophia Horak
Talk: Alex Bercik (University of Toronto) with Volume Dissipation for Finite-Difference and Spectral-Element Summation-By-Parts Methods
We construct provably stable, conservative, and accurate volume dissipation within a tensor-product framework. The dissipation operators can be applied to any scheme that uses the SBP framework, including high-order entropy-stable schemes. We clarify the incorporation of a variable coefficient within the operator structure, and connect the presented volume dissipation to the use of upwind SBP operators, both in a finite-difference and spectral-element context. Numerical examples featuring the linear convection, Burgers, and Euler equations verify the properties of the constructed dissipation operators, and assess their performance compared to existing upwind schemes, including local linear stability behaviour. When applied to entropy-stable schemes, the presented approach results in accurate and robust methods that can solve a broader range of problems where comparable existing methods fail.
Link to the paper: arXiv:2503.12670
Snapshot: DE Mach 2000 astrophysical Jet with DG and subcell positivity limiters using AMR
Numerical simulation of an astrophysical Jet with a Mach number of about 2000. We solve the compressible Euler equations of gas dynamics with a FCT-type subcell limiting approach combining a (forth-order accurate) discontinuous Galerkin (DG) method with a first-order accurate finite volume (FV) method at the node level to impose positivity of density and pressure. Additionally, a new mortar approach also ensures positivity of density and pressure.
At end time T=0.0015, we have 79,708 elements which result in 1,275,328 degrees of freedom. We use the entropy-conserving and kinetic energy preserving flux of Chandrashekar for the volume fluxes and the local Lax-Friedrichs flux for the surface fluxes of the DG and FV methods.
The results were obtained using Trixi.jl.
Reference:
[1] A. M. Rueda-Ramírez, B. Bolm, D. Kuzmin, G. J. Gassner: Monolithic Convex Limiting for Legendre-Gauss-Lobatto Discontinuous Galerkin Spectral Element Methods, https://link.springer.com/article/10.1007/s42967-023-00321-6
Snapshot: Modern transfer learning architectures improve archaeological artifact classification
With the increasing complexity of deep neural networks and continual architectural improvements, AI models have achieved remarkable success in image classification, surpassing 90% TOP-1 accuracy on ImageNet. Such high performance highlights their effectiveness across diverse domains and supports reliable transfer learning for smaller, specialized datasets. Artifact classification is one example where knowledge transfer from large-scale datasets proves highly beneficial. In (a), a pretrained CNN from ImageNet provides powerful feature extraction for archaeological image classification. In (b), this transferred knowledge is further extended to multi-image classification tasks through optimized feature fusion, enhancing overall model performance.
Snapshot: Subcell IDP/FCT Limiting Simulation of the Mach 2000 Astrophysical Jet
The videos show a result of simulations with DGSEM and a polynomial degree of 3. At the end of the simulation, the solution has about 150000 degrees of freedom. Subcell IDP/FCT-type Limiting provides for stability. Moreover, the simulation uses adaptive mesh refinement, combined with a new IDP mortar type that ensures positivity of density and pressure.
On the left side, local (shock-capturing) limiters are used in the volume integral, while on the right side only limiters that ensure physics admissibility (positivity of density and pressure) are enabled.
Snapshot: SPH Simulation of a freediving bifin
Simulation of a freediving bifin, modelling the fluid with δ+-SPH and periodic boundaries and the fin with Total Lagrangian SPH.
The software TrixiParticles.jl was used for this simulation.
Snapshot: Investigating Atmospheric Dynamics: The Held-Suarez Test Case with TrixiAtmo.jl
Our research group is currently utilizing TrixiAtmo.jl to explore the Held-Suarez test case, a widely recognized benchmark for atmospheric general circulation and climate models. First proposed by Held and Suarez in their 1994 paper, this idealized setup is designed to capture fundamental large-scale flow features of Earth’s atmosphere.
The model incorporates a simplified atmospheric forcing that establishes a decreasing temperature gradient from the equator to the poles and maintains a vertically balanced state. It also accounts for idealized boundary layer friction affecting the wind field. This configuration drives a characteristic atmospheric circulation: warm air rises at the equator, while colder air flows towards it at lower levels. The Coriolis force deflects this moving air, leading to the development of prominent jet streams in both the Northern and Southern Hemispheres.
For our simulations, TrixiAtmo.jl employs a Discontinuous Galerkin Spectral Element Method (DGSEM) with flux differencing. We discretize the Earth’s atmosphere using a cubed sphere grid with 6 patches, each consisting of 10 x 10 x 8 cells. Starting from a state with constant temperature and without any motion, the video visualizes the simulated near-surface air temperature and the developing flow patterns.
New preprint published: Mimetic Metrics for the DGSEM
Our new preprint is available on arXiv. We explore an alternative approach to the Kopriva metric terms, which is based on finite element exterior calculus.
https://doi.org/10.48550/arXiv.2410.14502
Abstract
Free-stream preservation is an essential property for numerical solvers on curvilinear grids. Key to this property is that the metric terms of the curvilinear mapping satisfy discrete metric identities, i.e., have zero divergence. Divergence-free metric terms are furthermore essential for entropy stability on curvilinear grids. We present a new way to compute the metric terms for discontinuous Galerkin spectral element methods (DGSEMs) that guarantees they are divergence-free. Our proposed mimetic approach uses projections that fit within the de Rham Cohomology.
Snapshot: Barotropic Instability with and without Orography
The video shows the evolution of a barotropic instability in Earth’s polar jet stream. Initially uniform, the jet stream undergoes perturbations, leading to vortex formation driven by the Coriolis force due to Earth’s rotation. To simulate this phenomenon, we discretize the Shallow Water Equations on the sphere using a discontinuous Galerkin method. We compare two scenarios: an ocean-covered Earth (without orography) and a more realistic representation that includes Earth’s orography. Orography is incorporated into the equations as a non-conservative term, with values sourced from the ETOPO dataset provided by the National Oceanic and Atmospheric Administration (NOAA). The simulations are performed using TrixiAtmo.jl.
New paper published: TrixiParticles.jl: Particle-based multiphysics simulation in Julia
Our new paper “TrixiParticles.jl: Particle-based multiphysics simulation in Julia” has been published in the Journal of Open Source Software.
We are happy we were able to contribute to the publication and thank all our collaborators for the great experience.
Summary
TrixiParticles.jl is a Julia-based open-source package for particle-based multiphysics simulations and part of the Trixi Framework. It handles complex geometries and specialized applications, such as computational fluid dynamics (CFD) and structural dynamics, by providing a versatile platform for particle-based methods. TrixiParticles.jl allows for the straightforward addition of new particle systems and their interactions, facilitating the setup of coupled multiphysics simulations such as fluid-structure interaction (FSI). Furthermore, simulations are set up directly with Julia code, simplifying the integration of custom functionalities and promoting rapid prototyping


