Litcius/Paper detail

Comparison of statistically-based methods for automated weighting of experimental data in CALPHAD-type assessment

Noah H. Paulson, Setareh Zomorodpoosh, Irina Roslyakova, Marius Stan

2020Calphad20 citationsDOIOpen Access PDF

Topics & Concepts

WeightingComputer scienceData miningReliability (semiconductor)OutlierConsistency (knowledge bases)CALPHADProcess (computing)Bayesian probabilitySampling (signal processing)Machine learningArtificial intelligencePhase (matter)Phase diagramPhysicsFilter (signal processing)RadiologyQuantum mechanicsOrganic chemistryChemistryPower (physics)Operating systemComputer visionMedicineHigh Temperature Alloys and CreepMachine Learning in Materials ScienceMetallurgical Processes and Thermodynamics
Comparison of statistically-based methods for automated weighting of experimental data in CALPHAD-type assessment | Litcius