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Hierarchical Bayesian approach to experimental data fusion: Application to strength prediction of high entropy alloys from hardness measurements

Sharmila Karumuri, Zachary D. McClure, Alejandro Strachan, Michael S. Titus, Ilias Bilionis

2022Computational Materials Science11 citationsDOI

Topics & Concepts

Gaussian processKrigingComputer scienceProbabilistic logicBayesian probabilityGaussianRegressionUncertainty quantificationAlgorithmArtificial intelligenceData miningMachine learningMathematicsStatisticsQuantum mechanicsPhysicsAdditive Manufacturing Materials and ProcessesHigh Entropy Alloys StudiesMachine Learning in Materials Science
Hierarchical Bayesian approach to experimental data fusion: Application to strength prediction of high entropy alloys from hardness measurements | Litcius