FMICore.jl implements the low-level equivalents of the C-functions and C-data types of the FMI-standard (fmi-standard.org) for the Julia programming language.
MIT License
FMICore.jl implements the low-level equivalents of the C-functions and C-data types of the FMI-standard (fmi-standard.org) for the Julia programming language.
Please note: FMICore.jl is not meant to be used as it is, but as part of FMI.jl, FMIImport.jl, FMIExport.jl and FMIFlux.jl. However you can install FMICore.jl by following these steps.
1. Open a Julia-REPL, switch to package mode using ]
, activate your preferred environment.
2. Install FMICore.jl:
(@v1) pkg> add FMICore
3. If you want to check that everything works correctly, you can run the tests bundled with FMICore.jl:
(@v1) pkg> test FMICore
To keep dependencies nice and clean, the original package FMI.jl had been split into new packages:
FMICore.jl is tested (and testing) under Julia Versions v1.6 LTS and v1 latest on Windows latest (x64
and x86
) and Ubuntu latest (x64
). MacOS is not CI-tested but should work with Mac-FMUs.
Tobias Thummerer, Lars Mikelsons and Josef Kircher. 2021. NeuralFMU: towards structural integration of FMUs into neural networks. Martin Sjölund, Lena Buffoni, Adrian Pop and Lennart Ochel (Ed.). Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021. Linköping University Electronic Press, Linköping (Linköping Electronic Conference Proceedings ; 181), 297-306. DOI: 10.3384/ecp21181297
Tobias Thummerer, Johannes Stoljar and Lars Mikelsons. 2022. NeuralFMU: presenting a workflow for integrating hybrid NeuralODEs into real-world applications. Electronics 11, 19, 3202. DOI: 10.3390/electronics11193202
Tobias Thummerer, Johannes Tintenherr, Lars Mikelsons. 2021. Hybrid modeling of the human cardiovascular system using NeuralFMUs Journal of Physics: Conference Series 2090, 1, 012155. DOI: 10.1088/1742-6596/2090/1/012155