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Updated: Apr 13, 2026

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Published on: June 19, 2018
In situ Synchrotron X-ray Metrology Boosted by Automated Data Analysis for Real-time Monitoring of Cathode
Ruhil Dongol1, Arpan Mukherjee1, Jianming Bai2
1Department of Materials Design and Innovation, University at Buffalo, Buffalo, NY, 14260, USA.
A new weighted lagged cross-correlation (WLCC) method analyzes synchrotron X-ray diffraction data in real-time. This enables rapid monitoring of battery material synthesis, improving quality control for cathode manufacturing.
Area of Science:
- Materials Science
- Analytical Chemistry
- Chemical Engineering
Background:
- Synchrotron X-ray metrology offers advanced capabilities for battery material synthesis monitoring.
- Massive data generation from in situ methods challenges real-time process analysis.
- Automated analysis is crucial for on-site, on-the-fly adjustments in material synthesis.
Purpose of the Study:
- To develop an automated data analysis approach for in situ synchrotron X-ray diffraction.
- To enable real-time monitoring of battery cathode material calcination.
- To facilitate agile adjustments during material synthesis experiments.
Main Methods:
- Implementation of a weighted lagged cross-correlation (WLCC) similarity approach.
- Integration of WLCC with in situ synchrotron X-ray diffraction (XRD) metrology.
- Analysis of the calcination process for lithium nickel oxide (LiNiO2) cathode material.
Main Results:
- Rapid extraction of phase progression (within 10 seconds) from numerous diffraction patterns.
- Detailed tracking of structural transformations from precursors to final LiNiO2.
- Identification of early-stage phase nucleation and growth dynamics.
Conclusions:
- The WLCC approach provides rapid, automated analysis for in situ XRD data.
- This method supports real-time process monitoring and control in battery cathode manufacturing.
- The data-powered platform enhances quality control and experimental agility.
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