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Accurate prediction of infinite dilution activity coefficient (γ∞) for phase equilibria and process design is crucial. In this work, an experimental γ∞ dataset containing 295 solutes and 407 solvents (21,048 points) is obtained through data integrating, cleaning, and filtering. The dataset is arranged as a sparse matrix with solutes and solvents as columns and rows, respectively. Neural collaborative...
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