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Smart Thermodynamic Modeling with Graph Neural Networks
The GNNPCSAFT WebApp 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.
The GNNPCSAFT Chat 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, you can chat with LLM models (Gemini or Ollama) with GNNPCSAFT tools, allowing you to ask questions about the PC-SAFT parameters of various compounds, predict thermodynamic properties, and get insights into the...
A full-client web application, practical and useful developer diagrams for the construction of the logic of a circuit, with circuit simulator, AC, DC and Transient Analysis, for your Computer Desktop. You can to export yours diagrams in pdf, png, jpg, gif and tiff.
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Support Windows 7 and later with ia-32 or arch x64
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Android app: https://play.google.com/store/apps/details?