SciSoftLab
In the Scientific Software Laboratory, we develop customised software solutions to improve the use of numerical simulations and data science modelling. Whether it’s a fully automated simulation process with minimal human interaction from pre-processing to post-processing or the development of webapps for data representation, we can do this for you.
A simulation solution has become a standard tool and you would like to integrate it into your entire workflow? Or you have generated a large amount of static simulation results that need to be reused in a clear and user-friendly way? We get you there, let us lead the way.
Scientific Software Portfolio
Simulation Automation
The automation of a simulation process shortens the turnaround time by several orders of magnitude and allows significantly more design iterations in the same timespan.
Webapp Development
Customised data representation webapps is a successful way to preserve and further utilise data. It increases the acceptance of simulation results across departments and stakeholders.
Solver/Library
Customisation
Customized OpenFOAM libraries and solvers take into account project-specific requirements and facilitate the embedding of the simulation tool into the overall workflow.
Development Tools
Python
Python is an interpreted high-level programming language (PL) widely used in the scientific community.
Bash
Bash can be used to automate processes under Linux OS system which is referred to as shell scripting.
Plotly Dash
Plotly Dash is a webapp development framework to be used under the Python programming language.
C++
C++ is a compiled low-level programming language that supports functional and object-oriented paradigms.
Case Studies
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FAQ Toggle Section
For software development management projects the customer’s software framework is typically used and we collaborate with the internal IT to realise the application. Here the accessibility can be given based on the internal policies. For applications like webapps that are developed in our Labs we have the right framework to enable this.
Generally we follow a white-box approach and provide the source code to ensure replicability. For internally developed software that is used for the customer this is not the case.
