Publication | Closed Access
A data-driven approach to predicting band gap, excitation, and emission energies for Eu<sup>2+</sup>-activated phosphors
24
Citations
69
References
2021
Year
EngineeringAbsorption SpectroscopyExcitation Energy TransferEmission EnergiesComputational ChemistryChemistryLuminescence PropertyBand GapChemical EngineeringPeak Emission WavelengthOptical PropertiesPhosphorenePhotoluminescenceMl Model PlatformPhysicsEu 2+Quantum ChemistryNatural SciencesSpectroscopyApplied PhysicsOptoelectronicsPhosphorescenceData-driven Approach
An integrated ML model platform is developed to predict the peak emission wavelength (PEW), excitation band edge wavelength (EBEW), and band gap ( E g ) from structural, elemental, chemical, and physical descriptors of Eu 2+ -activated phosphors.
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