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Updated: May 9, 2025

Characterization of Electrode Materials for Lithium Ion and Sodium Ion Batteries Using Synchrotron Radiation Techniques

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Published on: November 11, 2013

Data selection strategies for minimizing measurement time in materials characterization.

Alexander Liehr¹, Kristina Dingel², Daniel Kottke²

¹Institute of Materials Engineering, University of Kassel, Moenchebergstr. 3, 34125, Kassel, Germany. liehr@uni-kassel.de.

Scientific Reports

|April 30, 2025

Summary

Efficient X-ray diffraction analysis is crucial for new alloys. This study shows microstructure-specific selection strategies reduce counting times in X-ray energy dispersive diffraction without compromising data quality.

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Last Updated: May 9, 2025

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Quantitative Atomic-Site Analysis of Functional Dopants/Point Defects in Crystalline Materials by Electron-Channeling-Enhanced Microanalysis

Published on: May 10, 2021

Area of Science:

Materials Science
Analytical Chemistry
Physics

Background:

New alloys require efficient material characterization for reliability and sustainability.
Traditional X-ray diffraction (XRD) methods face efficiency challenges, especially with low intensities in lab settings.
Optimizing counting time is critical for accurate phase, texture, and residual stress analysis.

Purpose of the Study:

To develop and validate strategies for decreasing counting times in X-ray energy dispersive diffraction (XRD) experiments.
To investigate the impact of microstructure-specific selection on data quality and measurement efficiency.
To propose a method for preventing redundant measurements in materials characterization.

Main Methods:

Utilized X-ray energy dispersive diffraction (XRD) experiments.
Implemented specific selection strategies based on the alloy's microstructure.
Assessed data quality and signal-to-noise ratios after time reduction.

Main Results:

Demonstrated that microstructure-aware selection strategies can significantly decrease counting times.
Showed no detrimental effect on data quality for subsequent analysis.
Identified potential for widespread adoption in lab and large-scale facilities.

Conclusions:

Microstructure-specific selection strategies offer an efficient approach to XRD measurements.
Reduced counting times are achievable without sacrificing analytical accuracy.
This method enhances the efficiency of materials characterization, enabling faster development cycles.