Deep Neural Network Learning of Complex BinarySorption Equilibria from Molecular Simulation Data

A deep neural network, called SorbNet, is developed that can predict multi-component adsorption isotherms over a wide range of temperatures and pressures and allows for finding optimal conditions for challenging separations.

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