| File | Date | Author | Commit |
|---|---|---|---|
| .github | 5 hours ago |
|
[c5b53f] updated |
| app | 2 days ago |
|
[768dec] init |
| chat | 7 hours ago |
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[d39b77] fix lint |
| electron | 5 hours ago |
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[80ec3e] fix fetch bug |
| hooks | 7 hours ago |
|
[56618b] rm |
| .dockerignore | 2 days ago |
|
[768dec] init |
| .pylintrc | 2 days ago |
|
[768dec] init |
| Dockerfile | 2 days ago |
|
[768dec] init |
| README.md | 5 hours ago |
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[08a6cc] update |
| daemon.json | 2 days ago |
|
[768dec] init |
| gnnpcsaftchat.spec | 7 hours ago |
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[b59feb] updated |
| manage.py | 2 days ago |
|
[768dec] init |
| pyrightconfig.json | 2 days ago |
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[768dec] init |
| requirements.txt | 7 hours ago |
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[c8bff2] add lint |
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: