2022.3
How to run a nanoFluidX model.
Launch a simulation via a Linux or Windows terminal, or via PBS access.
View new features for nanoFluidX 2022.3.
nanoFluidX is a software to simulate single and multi-phase flows based on the Lagrangian Particle Method Smoothed Particle Hydrodynamics (SPH).
Discover nanoFluidX functionality with interactive tutorials.
Create a nanoFluidX model using SimLab.
Platforms, operating systems, and processors supported by nanoFluidX and recommended and required hardware.
Sample configuration files and geometry input files are provided with the binary to test the proper system setting and see if the simulation starts correctly on the system.
Recommendations for running multi-node jobs.
nanoFluidX prep, shortened as nFX[p], is an auxiliary executable for nanoFluidX intended to eliminate a number of potential user errors during the pre-processing phase.
nanoFluidX companion, also known as nFX[c], is a post-processing tool developed to accompany the nanoFluidX solver allowing for an easier execution of certain post-processing tasks.
nanoFluidX monitor, known as nFX[m], is a single file portable Python executable that is aimed for helping with monitoring a nanoFluidX simulation during runtime.
How to troubleshoot a simulation which fails to run or stops prematurely.
How to post-process nanoFluidX results using ParaView.
Guidance on modeling specific usecases with nanoFluidX.
nanoFluidX commands and parameters with examples.
Physics and theory for nanoFluidX.
Validation cases for the dynamic testing of nanoFluidX.
Performance benchmark results for nanoFluidX.
This glossary contains generic messages generated by nanoFluidX, their likely causes, and possible methods to resolve the related issues.
This section provides quick responses to typical and frequently asked questions regarding nanoFluidX.
References used throughout the nanoFluidX manual.
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