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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.

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 GNNPCSAFT's performance.

VASPMO aims at visualizing wavefunctions (or molecular orbitals) from VASP calculations. It reads VASP's output files PROCAR and CONTCAR, and exports an *.out file in Gaussian's output format, which can be visualized by many popular visualization tools, such as JMol, Molekel, Chemcraft, Gabedit and Molden, etc. These tools can further generate *.cube files, which can be visualized by an even wider range of...

This is an isotopic pattern calculator written in python. It depends on re, sys, numpy, operator, itertools, and matplotlib.