Augsburg hosts the SNuBIC fellow meeting. Participants from four universities discussed topics related to numerics and simulation methods.

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.

Valentin Churavy has successfully applied for a travel grant for a scientific exchange with researchers at the Naval Postgraduate School at Monterey, California.

On Wednesday, 18th December 2024, 4pm
, the CAAPS Connect event "Julia for Scientific Computing and Data Science" will take place. Everyone interesting in using Julia for scientific research is welcome to attend (not registration required).

Our paper "HOHQMesh: An All Quadrilateral/Hexahedral Unstructured Mesh Generator for High Order Elements" has been published in the Journal of Open Source Software

At this year's MHD Days in Potsdam we presented our work on adaptive multiphysics coupling in Trixi.jl.

Our paper "On the robustness of high-order upwind summation-by-parts methods for nonlinear conservation laws" has been published in the Journal of Computational Physics.

We tested the numerical code Trixi.jl on the Jülich Supercomputing Centre and ran it at 61,440 MPI ranks with excellent scaling.

We have submitted our new paper "Secure numerical simulations using fully homomorphic encryption".

We would like to invite you to the upcoming?CAAPS Workshop?on?Particle-based numerical simulations?which will take place at the Centre for Advanced Analytics and Predictive Sciences of the 威尼斯赌博游戏_威尼斯赌博app-【官网】 of Augsburg on 5th and 6th November 2024.

You can find further information here. Looking forward to seeing you there! ??

Valentin Churavy has joined the High-Performance Scientific Computing Lab on August 1st, 2024 as a postdoctoral researcher.

Using the numerical simulation framework Trixi.jl we implement adaptive multiphysics coupling mechanisms. With that we can simulate domains that make use of different kinds of physics. They are coupled through the boundaries in a way that, in principle, one could couple very different systems. Thanks to our adaptive model selection, we can prescribe criteria for changing model adaptively.