AI-assisted data analysis for efficient R&D in graphitization

CMI researchers from Ames National Laboratory conducted the activity for this highlight

Achievement
Developed an AI-powered process to analyze data collected from graphite characterization more efficiently.

Significance and Impact 
The method enables more rapid and consistent processing of Raman and XRD data, accelerating development of a new, improved graphitization process.

Details and Next Steps

  • High-quality graphite is necessary for batteries. Our data analysis method speeds the optimization of the graphite production process. 
  • Additional validation is in progress.

Hub Target Addressed 

  • Increasing the speed of discovery and integration.
  • Developing and applying scientific tools to accelerate technology maturation.
diagram is representation of the graphite production improvement process, with a callout for the AI-assisted approach, enabling faster data analysis and process optimization.
Representation of the graphite production improvement process, with a callout for the AI-assisted approach, enabling faster data analysis and process optimization.