AMUSE
Combine existing numerical codes in an easy to use Python framework. With AMUSE you can simulate objects such as star clusters, proto-planetary disks and galaxies.
Reproducibility for digital-twin simulations in astrophysics
The Astrophysics Multipurpose Software Environment (AMUSE) is a framework for studying multi-scale and multi-physics phenomena. It comprises an extensive collection of dedicated solvers in various computer languages. The inhomogeneity of the framework impedes installation and maintenance but has enormous advantages in terms of flexibility, validation, applicability, and usability. We aim to make the AMUSE software environment better findable,more accessible, interoperable, reusable, and reproducible. Adding reproducibility would make AMUSE FAIReR than other simulation environments, which will help us to port AMUSE to other disciplines, including biology and chemistry.
Tipping of the Atlantic Ocean Circulation
Modelling sea level and inundation for cyclones
Overcoming the challenge of locality using a community multi-model environment
Coupling an implicit low-resolution model to an explicit high-resolution ocean model
Enhancing multiscale computing with sensitivity analysis and uncertainty quantification
Understanding the interaction between clouds and the large-scale circulation
The generalization and optimization of the multi-purpose software environment
The evolution of embedded star clusters
Combine existing numerical codes in an easy to use Python framework. With AMUSE you can simulate objects such as star clusters, proto-planetary disks and galaxies.
MUSCLE3 is a coupling library for building multiscale simulations out of single-scale models.
A Python environment to interface and couple oceanographic and other earth system model codes.