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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.
More info on github repository.
QTnew is a universal Queueing Theory simulator. Different types of serving disciplines, time distributions, routes are supported. Simulation is extremely flexible: any custom simulation can be performed with JavaScript.
GraphScript project is a network theory simulator based purely on Java and Java scripting engines.
It is intended to allow fast development, testing and visualization of network theory (graph) algorithms.
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The Integrative Biology VRE is a web-based graphical user interface and repository that provides an environment where biological simulation experiments can be constructed without the need for any knowledge of unix, cluster computing, or shell scripting.