Title
A Case-Based Reasoning Approach To The Identification Of Materials From Diffraction Patterns
Abstract
X-ray diffractometry, within materials engineering, is a promising area of application for case-based reasoning. A large database of spectral diffraction patterns includes entries with different quality marks; moreover, several diffraction patterns happen to be equivalent, identifying the same material (crystalline phase), even though it also happens, that a spectral diffraction pattern alone would not identify a crystalline phase, and parameters such as density also have to be involved for identification. Current practice in the scanning and processing of so-called powder diffraction files, out of a database of files (formerly cards), calls for improvements of various kinds. Arguably, case-based reasoning is a technique from within AI that appears to exhibit a very interesting potential to make the process of identification less cumbersome.
Year
DOI
Venue
2009
10.1080/08839510802700185
Applied Artificial Intelligence
Keywords
Field
DocType
diffraction patterns,large database,diffraction pattern,current practice,interesting potential,case-based reasoning,different quality mark,crystalline phase,x-ray diffractometry,so-called powder diffraction file,spectral diffraction pattern,case-based reasoning approach,powder diffraction,case base reasoning
Data mining,Powder diffraction,Computer science,Case-based reasoning,Diffraction
Journal
Volume
Issue
ISSN
23
3
0883-9514
Citations 
PageRank 
References 
0
0.34
8
Authors
4
Name
Order
Citations
PageRank
Giora Kimmel100.34
Yaakov HaCohen-Kerner218827.25
Ephraim Nissan316421.59
Eugen Berman400.34