Modeling and prediction of lattice parameters of binary spinel compounds (AM<sub>2</sub>X<sub>4</sub>) using support vector regression with Bayesian optimization
Ibrahim Olanrewaju Alade, Yun Zhang, Xiaojie Xu
Abstract
The lattice constants of spinel compounds AM 2 X 4 are correlated with the constituent elemental properties using support vector regression (SVR) optimized with Bayesian optimization.
Topics & Concepts
ChemistryBinary numberSpinelSupport vector machineBayesian probabilityBayesian optimizationLattice (music)RegressionStatisticsArtificial intelligenceMetallurgyAcousticsComputer scienceMathematicsMaterials scienceArithmeticPhysicsX-ray Diffraction in CrystallographyThermal and Kinetic AnalysisPigment Synthesis and Properties