Simulation and prediction of the attenuation behaviour of the KNN–LMN–based lead-free ceramics by FLUKA code and artificial neural network (ANN)–based algorithm
İskender Akkurt, Parisa Boodaghi Malidarreh, Roya Boodaghi Malidarre
Abstract
is reported for half-value layer values against gamma photon. From the attained results, it can be concluded that increaisng the rate of x results in the better shielding proficiency in terms of neutron and gamma photon for chosen KNN-LMN-based lead-free ceramics.
Topics & Concepts
NeutronElectromagnetic shieldingAttenuationCeramicArtificial neural networkPhysicsMaterials scienceAlgorithmNuclear physicsComputer scienceMachine learningOpticsComposite materialRadiation Shielding Materials AnalysisNuclear materials and radiation effectsNuclear Physics and Applications