Prediction of the grain size of Cd-Mn-S nanocrystalline structures

Computational Materials Science

Volumn 47, Issue 2, 2009, Pages 384-387

  Jajarmi, P ^a   Valipour, S ^b  

^a HAKIM SABZEVARI UNIVERSITY   (Iran)

^b RAZI UNIVERSITY   (Iran)

Author keywords

Cd Mn S; Grain size; Nanocrystal

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORK MODELS; CD-MN-S; FEED-FORWARD MULTILAYER PERCEPTRON; GRAIN SIZE; HIDDEN LAYERS; NANO-CRYSTALLINE NICKEL; NANO-CRYSTALLINE STRUCTURES; NANOCRYSTALLINES; OPTIMUM NUMBER;

BACKPROPAGATION; CRYSTALLINE MATERIALS; GRAIN SIZE AND SHAPE; MANGANESE; MANGANESE COMPOUNDS; NANOCRYSTALS; SIMULATORS;

NEURAL NETWORKS;

EID: 70449674234     PISSN: 09270256     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.commatsci.2009.08.016     Document Type: Article

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