Unsupervised learning and pattern recognition in alloy design
Ninad Bhat, Nick Birbilis, Amanda S. Barnard
Abstract
Metal alloys are important for a variety of industrial applications but occupy large combinatorial design spaces. Pattern recognition provides unique opportunities to group and simplify alloy data prior to property prediction.
Topics & Concepts
Computer scienceUnsupervised learningPattern recognition (psychology)Artificial intelligenceManufacturing Process and OptimizationIndustrial Vision Systems and Defect DetectionMetallurgy and Material Forming