AI-Segmentation of FIB-SEM Tomography of a Cathode
PDF tutorial
The range and charging speed of electric vehicles depend largely on the material properties of the batteries. A deep understanding of the microstructure of electrode materials is therefore essential for optimizing battery performance and charging behavior.
GeoDict offers powerful tools to analyze 3D scans of real electrodes, create detailed digital models, and precisely identify material components such as active material and binders.
In this PDF tutorial you will learn step-by-step:
- Import FIB-SEM data: Import and prepare high-resolution tomography data sets for cathode analysis.
- Detect microstructures: Utilize the advantages of FIB-SEM technology to visualize fine details such as binder structure and crystal orientation.
- AI-assisted segmentation: Train a neural network to reliably distinguish between material phases as well as foreground and background based on multiple image stacks from different channels.
This tutorial is intended for battery developers, materials scientists, and engineers who want to analyze the microstructure of battery materials and derive insights for material design.
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