Litcius/Paper detail

A statistical perspective for predicting the strength of metals: Revisiting the Hall–Petch relationship using machine learning

Yejun Gu, Christopher D. Stiles, Jaafar A. El‐Awady

2023Acta Materialia29 citationsDOI

Topics & Concepts

Materials scienceMicrostructureCrystalliteRandomnessGrain sizeProbabilistic logicFlow stressStress (linguistics)Context (archaeology)Machine learningArtificial intelligenceMetallurgyComputer scienceStatisticsMathematicsPaleontologyBiologyLinguisticsPhilosophyMicrostructure and mechanical propertiesHydrogen embrittlement and corrosion behaviors in metalsMicrostructure and Mechanical Properties of Steels
A statistical perspective for predicting the strength of metals: Revisiting the Hall–Petch relationship using machine learning | Litcius