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Machine learning-based prediction models for formation energies of interstitial atoms in HCP crystals

Daegun You, Shraddha Ganorkar, Sooran Kim, Keonwook Kang, Won-Yong Shin, Dongwoo Lee

2020Scripta Materialia24 citationsDOI

Topics & Concepts

KrigingSupport vector machineParametric statisticsGaussian processMaterials scienceRegressionLinear regressionProcess (computing)Regression analysisPredictive modellingGaussianComputer scienceMachine learningBiological systemArtificial intelligenceAlgorithmComputational chemistryMathematicsChemistryStatisticsBiologyOperating systemMachine Learning in Materials ScienceX-ray Diffraction in CrystallographyNuclear Materials and Properties
Machine learning-based prediction models for formation energies of interstitial atoms in HCP crystals | Litcius