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GNNePCSAFT
Smart Thermodynamic Modeling with Graph Neural Networks
Embark on a cutting-edge journey with our project that harnesses the power of Graph Neural Networks to estimate pure-component parameters of the state-of-the-art Equation of State, ePC-SAFT. We aim to empower users to leverage this robust equation without the need for prior experimental data, revolutionizing the calculation of thermodynamic properties and enhancing process simulations. FeOS is used for the PC-SAFT calculations. The estimated parameters can be used in DWSIM and Aspen HYSYS...
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