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Filtering by: Creator Owens, Joshua M. Academic Affiliation Chemical, Biological and Environmental Engineering

Data-driven imputation of miscibility of aqueous solutions via graph-regularized logistic matrix factorization

Creator:

Behnoudfar, Diba, Simon, Cory M., and Schrier, Joshua

Abstract:

Aqueous, two-phase systems (ATPSs) may form upon mixing two solutions of independently water-soluble compounds. Many separation, purification, and extraction processes rely on ATPSs. Predicting the miscibility of solutions can accelerate and reduce the cost of the discovery of new ATPSs for these applications. Whereas previous machine learning approaches to ATPS...

Resource Type:

Article

Full Text:

solutions via graph-regularized logistic matrix factorization Diba Behnoudfar,† Cory M. Simon,∗,† and