Data Determination Diffraction From Powder Structure

$Fundamentals of Powder Diffraction and Structural Characterization of Materials$

Fundamentals of Powder Diffraction and Structural Characterization of Materials

Fundamentals of Powder Diffraction data determination diffraction from powder structure and Structural Characterization of Materials provides an in-depth introduction to the theories data determination diffraction from powder structure and applications of the powder diffraction method for structure determination. The emphasis is placed on powder diffraction data collected using conventional x-ray sources, which remain primary tools for thousands of researchers data determination diffraction from powder structure and students in their daily experimental work. The book is divided into two parts: chapters one though three give essential theoretical background, while chapters four through seven guide the reader through practical aspects of extracting structural information from powder data. The book is supplemented by a compact disk containing experimental data collected from a variety of materials that are used as examples data determination diffraction from powder structure and in the problems offered at the end of every chapter. In addition color electronic versions of some 300 illustrations found throughout the book will be included.
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Joint Committee for Powder Diffraction Studies - The Joint Committee for Powder Diffraction Studies (JCPDS) maintains a database of diffraction patterns, the Powder Diffraction File (PDF), including the d-spacings (related to angle of diffraction) and relative intensities of observable diffraction peaks. Patterns may be experimentally determined, or (preferably) computed based on crystal structure and Bragg's law.

Persistent data structure - In computing, a persistent data structure is a data structure which always preserves the previous version of itself when it is modified; such data structures are effectively immutable, as their operations do not (visibly) update the structure in-place, but instead always yield a new updated structure. These type of data structures are particularly common in functional programming, and in a purely functional program all data is immutable.

Abstract data structure - In theoretical computer science, an abstract data structure is an abstract storage for data defined in terms of the set of operations to be performed on data and computational complexity for performing these operations, regardless the implementation in a concrete data structure.

Data structure - In computer science, a data structure is a way of storing data in a computer so that it can be used efficiently. Often a carefully chosen data structure will allow a more efficient algorithm to be used.

datadeterminationdiffractionfrompowderstructure

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