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Project description
GNNePCSAFT CLI
The project focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT.
Currently, the model takes into account the hard-chain, dispersive, and associative terms of PC-SAFT. Future work on polar and ionic terms is being studied.
Code is being developed mainly in Pytorch (PyG).
You can find a model deployed in a Desktop App at SourceForge.
A CLI to use a model can be found at GNNePCSAFT CLI and installed with pipx:
pipx install gnnepcsaftcli
CLI
GNNePCSAFT CLI tool
Usage:
gnnepcsaftcli [OPTIONS] COMMAND [ARGS]...
Options:
--install-completion: Install completion for the current shell.--show-completion: Show completion for the current shell, to copy it or customize the installation.--help: Show this message and exit.
Commands:
pred: Predict PCSAFT parameters from SMILES...
pred
Predict PCSAFT parameters from SMILES with a GNNePCSAFT model
Usage:
pred [OPTIONS]
Options:
--help: Show this message and exit.
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