A Neural Network-Based Application to Identify Cubic Structures in Multi Component Crystalline Materials Using X-Ray Diffraction Data.

A Neural Network-Based Application to Identify Cubic Structures in Multi Component Crystalline Materials Using X-Ray Diffraction Data.

One of the crystalline materials structures is cubic. An experimental study has been done about developing a scheme to identify the cubic structure types in single or multi component materials. This scheme is using fingerprints created from the calculation of quadratic Miller indices ratios and mat...

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Bibliographic Details
Main Authors: Syukur, Mohammad, Pasha, Muhammad Fermi, Budiarto, Rahmat
Format: Article
Language:English
Published: Dr. Sang H. Lee 2007
Subjects:
QA75.5-76.95 Electronic computers. Computer science
Online Access:http://eprints.usm.my/9385/
http://eprints.usm.my/9385/1/A_Neural_Network-Based_Application_to_Indentify_Cubic_Structures_in_Multi_Component_Crystalline_Materials_Using_X-Ray_Diffraction_Data.pdf

Internet

http://eprints.usm.my/9385/
http://eprints.usm.my/9385/1/A_Neural_Network-Based_Application_to_Indentify_Cubic_Structures_in_Multi_Component_Crystalline_Materials_Using_X-Ray_Diffraction_Data.pdf

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