Case studies include the multiscale analysis of additively manufactured alloys, where atom probe tomography (APT), electron backscatter diffraction (EBSD), and optical microscopy (OM) serial sectioning, as well as high-throughput nanoindentation data are combined to explore the relationship between microstructure and mechanical properties. Another case involves the microstructural correlation of creep behavior in high-temperature alloys through the fusion of FIB-EBSD orientation maps with localized nanoindentation creep data, A further example investigates the mechanisms of failure in multiphase materials, where FIB-SEM tomography allows to localize the onset of plastic deformation in micropillars that contain stress concentrators like precipitates or weak phase boundaries. These case studies demonstrate how fused tomographic and mechanical data can support the fabrication and qualification of advanced materials, emphasizing the infrastructure’s strength in handling complex, multimodal datasets across diverse research domains.

• Develop a unified infrastructure to support the integration of tomography and mechanical testing data from various sources.
• Establish a shared metadata schema to enable the correlation of datasets across methods and length scales.
• Standardize workflows for high-throughput, multiscale experiments (e.g., combining APT, EBSD, and mechanical testing).
• Enable automated data analysis and insight generation for Materials Acceleration Platforms (MAPs).
• Promote FAIR data practices to ensure long-term accessibility, reusability, and interoperability of complex multimodal datasets.