Designing exceptional gas-separation polymer membranes using machine learning
J. Wesley Barnett, Connor R. Bilchak, Yiwen Wang, Brian C. Benicewicz, Laura Murdock, Tristan Bereau, Sanat K. Kumar
Abstract
separation performance. This ML technique, which is trained using a relatively small body of experimental data (and no simulation data), evidently represents an innovative means of exploring the vast phase space available for polymer membrane design.
Topics & Concepts
MembranePolymerComputer scienceSynthetic membraneGas separationPermeability (electromagnetism)Materials scienceAlgorithmBiological systemChemistryComposite materialBiochemistryBiologyMembrane Separation and Gas TransportGreen IT and SustainabilityFuel Cells and Related Materials