Emerging Trends in Machine Learning: A Polymer Perspective
Tyler B. Martin, Debra J. Audus
Abstract
In the last five years, there has been tremendous growth in machine learning and artificial intelligence as applied to polymer science. Here, we highlight the unique challenges presented by polymers and how the field is addressing them. We focus on emerging trends with an emphasis on topics that have received less attention in the review literature. Finally, we provide an outlook for the field, outline important growth areas in machine learning and artificial intelligence for polymer science and discuss important advances from the greater material science community.
Topics & Concepts
Perspective (graphical)Field (mathematics)Computer scienceArtificial intelligenceData scienceFocus (optics)Engineering ethicsManagement scienceNanotechnologyEngineeringMaterials scienceMathematicsOpticsPhysicsPure mathematicsMachine Learning in Materials ScienceSoftware System Performance and ReliabilityMetabolomics and Mass Spectrometry Studies