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Smart Thermodynamic Modeling with Graph Neural Networks
The GNNPCSAFT Web App is an implementation of our project that focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. We developed this app so the scientific community can access the model's results easily.
In this app, the estimated pure-component parameters can be used to calculate thermodynamic properties and compare them with experimental data from the ThermoML Archive.
- CPU-compatible desktop build
The standard...
PCP-net is a browser-based application to calculate preheating temperature, heat input and carbon equivalent, which can be used to avoid hydrogen cracking (cold cracking) in unalloyed and low-alloyed ferritic steels.
Intend to reproduce most of the conversational programming functionality of the Fagor 8055TC lathe controller. Web browser interface for easy portability between different OS. Visit project web-site for demo.
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Multi-user online service implementation for web-based factory modeling. Rich user interface and scalable backend system to build online simulation services on or do other processing of factory data. Demo at https://fabriksimulation.ipa.fraunhofer.de