B3: 3D-nanoGPS – Scale-Bridging Tomography for Multimodal 3D Characterization of Hierarchical Materials

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This doctoral project aims to develop a universal 3D registration workflow that bridges imaging scales from the nanometer to the millimeter range for hierarchical functional materials. The candidate will extend the nanoGPS concept from 2D to 3D, enabling precise localization and coordinate transfer of regions of interest (ROIs) between tomography modalities such as µCT, nanoCT, and FIB/SEM. Both marker-free (AI-based) and marker-based registration strategies will be implemented to align datasets across different resolutions and contrasts. The workflow will be validated on model systems such as supraparticle assemblies and PEM electrolyzer electrodes. Advanced algorithms for coordinate transformation and deformation-field prediction will be developed to ensure high registration accuracy. The resulting 3D-nanoGPS framework will allow correlative and non-destructive 3D characterization across scales, linking microscopic structure and functionality, and providing a foundation for AI-assisted materials optimization.