Using GPT-4 in parameter selection of polymer informatics: improving predictive accuracy amidst data scarcity and ‘Ugly Duckling’ dilemma
Kan Hatakeyama‐Sato, Seigo Watanabe, Naoki Yamane, Yasuhiko Igarashi, Kenichi Oyaizu
Abstract
Data scarcity in materials informatics hinders structure–property relationships. Using GPT-4 can address challenges, improving predictions like polymer refractive indices.
Topics & Concepts
ScarcityDilemmaInformaticsProperty (philosophy)Computer scienceSelection (genetic algorithm)PolymerMaterials scienceArtificial intelligenceMathematicsEngineeringEconomicsMicroeconomicsGeometryComposite materialEpistemologyPhilosophyElectrical engineeringMachine Learning in Materials ScienceComputational Drug Discovery MethodsSemiconductor materials and devices