Realistic material property prediction using domain adaptation based machine learning
Jeffrey Hu, David Liu, Nihang Fu, Rongzhi Dong
Abstract
Scientists aim to predict properties for a known subset of related out-of-distribution materials rather than universally distributed samples. Introducing target material information enhances machine learning models.
Topics & Concepts
Domain adaptationProperty (philosophy)Adaptation (eye)Domain (mathematical analysis)Computer scienceArtificial intelligenceMachine learningMathematicsPsychologyEpistemologyNeurosciencePhilosophyClassifier (UML)Mathematical analysisMachine Learning in Materials ScienceDomain Adaptation and Few-Shot LearningNon-Destructive Testing Techniques