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 .github 2026-01-24 wildsonbbl wildsonbbl [c5b53f] updated
 app 2026-01-22 wildsonbbl wildsonbbl [768dec] init
 chat 2026-01-24 wildsonbbl wildsonbbl [d39b77] fix lint
 electron 2026-01-24 wildsonbbl wildsonbbl [80ec3e] fix fetch bug
 hooks 2026-01-24 wildsonbbl wildsonbbl [56618b] rm
 .dockerignore 2026-01-22 wildsonbbl wildsonbbl [768dec] init
 .pylintrc 2026-01-22 wildsonbbl wildsonbbl [768dec] init
 Dockerfile 2026-01-22 wildsonbbl wildsonbbl [768dec] init
 README.md 2026-01-24 wildsonbbl wildsonbbl [08a6cc] update
 daemon.json 2026-01-22 wildsonbbl wildsonbbl [768dec] init
 gnnpcsaftchat.spec 2026-01-24 wildsonbbl wildsonbbl [b59feb] updated
 manage.py 2026-01-22 wildsonbbl wildsonbbl [768dec] init
 pyrightconfig.json 2026-01-22 wildsonbbl wildsonbbl [768dec] init
 requirements.txt 2026-01-24 wildsonbbl wildsonbbl [c8bff2] add lint

Read Me

GNNPCSAFT Chat

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.

Other implementations to use GNNPCSAFT:

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