Add to ORKGIn this paper we discuss the benefits obtained by the use of Python in our CFD computations. Our research involves the development and study of a high-resolution vortex method. We outline the various Python scripts that enabled us to do routine tasks, drive CPU intensive simulations from Python, schedule several hundreds of runs and interactively explore and analyze the data. We also show how SWIG, Pypar and SciPy’s Weave enabled the rapid and efficient implementation of an interesting parallel program.
We develop a fast, user-friendly implementation of a potential flow solver based on the unsteady vor...
CUPyDO, a fluid-structure interaction (FSI) tool that couples existing independent fluid and solid s...
Creating scalable, high performance PDE-based simulations requires an appropriate combination of mod...
International audienceThe Python package fluidsim is introduced in this article as an extensible fra...
Over the last years, multi-disciplinary simulations got more and more important. Especially, in the ...
This paper presents an overview of the capabilities of a new open-source pre-and post-processing too...
Direct Numerical Simulations (DNS) of the Navier Stokes equations is an invaluable research tool in ...
Computational fluid dynamics (CFD) simulations are essential tools in various scientific and enginee...
International audienceFluidDyn is a project to foster open-science and open-source in the fluid dyna...
The CFD Python learning module is a set of Jupyter notebooks, consisting of 12 "core" lessons, 3 "bo...
Computational physics problems often have a common set of aspects to them that any particular numeri...
The flowTorch library enables researchers to access, analyze, and model fluid flow data from experim...
A novel CFD code, named DynHoLab (Dynamic High-order Laboratory), is developed combining Python and ...
Computational fluid dynamics (CFD) is used to describe temperature, velocity and different fluid pro...
We present a prototype solution for a polyglot computational fluid dynamics code using the Python Mu...
We develop a fast, user-friendly implementation of a potential flow solver based on the unsteady vor...
CUPyDO, a fluid-structure interaction (FSI) tool that couples existing independent fluid and solid s...
Creating scalable, high performance PDE-based simulations requires an appropriate combination of mod...
International audienceThe Python package fluidsim is introduced in this article as an extensible fra...
Over the last years, multi-disciplinary simulations got more and more important. Especially, in the ...
This paper presents an overview of the capabilities of a new open-source pre-and post-processing too...
Direct Numerical Simulations (DNS) of the Navier Stokes equations is an invaluable research tool in ...
Computational fluid dynamics (CFD) simulations are essential tools in various scientific and enginee...
International audienceFluidDyn is a project to foster open-science and open-source in the fluid dyna...
The CFD Python learning module is a set of Jupyter notebooks, consisting of 12 "core" lessons, 3 "bo...
Computational physics problems often have a common set of aspects to them that any particular numeri...
The flowTorch library enables researchers to access, analyze, and model fluid flow data from experim...
A novel CFD code, named DynHoLab (Dynamic High-order Laboratory), is developed combining Python and ...
Computational fluid dynamics (CFD) is used to describe temperature, velocity and different fluid pro...
We present a prototype solution for a polyglot computational fluid dynamics code using the Python Mu...
We develop a fast, user-friendly implementation of a potential flow solver based on the unsteady vor...
CUPyDO, a fluid-structure interaction (FSI) tool that couples existing independent fluid and solid s...
Creating scalable, high performance PDE-based simulations requires an appropriate combination of mod...