Superconducting quantum devices are at the heart of modern quantum technology, where they are used both as fundamental building blocks in larger quantum devices and circuits, but also as sensors in quantum metrology. These superconducting devices are often realized on a mesoscopic scale, bridging the microscopic and macroscopic regimes. However, our fundamental understanding of how superconductivity behaves on the mesoscopic scale is far from complete, partly because of the technical challenges with simulating such systems with full microscopic theory. To resolve these issues, we have developed the open-source framework SuperConga, based on the quasiclassical theory of superconductivity [Applied Physics Reviews 10, 011317 (2023); https://doi.org/10.1063/5.0100324], which can efficiently model mesoscopic superconductivity. SuperConga is the state-of-the art, combining a highly efficient implementation that runs on GPUs, with a user-friendly and well-documented interface. SuperConga is in continuous development (https://gitlab.com/superconga/superconga) and has previously been used to research a number of different topics published in high-impact journals, and in numerous student theses (https://superconga.gitlab.io/superconga-doc/about.html#research-using-superconga). In this round, we aim to investigate the electrodynamics and topological defects in chiral superconductors, which are topological superconductors that can pave the way to topological quantum computing. Specifically, in one project we are developing an analytic response theory for these chiral superconductors, and in another we will study vortex skyrmions that are emergent in these systems. The older data currently stored will be used in our data analysis and as a reference for our analytic calculations, together with new simulations that will generate new data. Please note that the older data might therefore look inactive due to the long time frame from starting one project and generating the data, to finishing the project and going through the publication and review process, to then using the same data as a starting point in a completely different project. However, the C3SE/NAISS project and the data is therefore detrimental to provide continuity between projects through a common storage, and to facilitate the connectivity between projects using common data.