today. Integrating real-time intelligent simulation, data-driven approaches, and autonomous intelligent experimental and manufacturing technologies is key to making breakthroughs. Only by addressing how to accelerate the research and development of new materials can we meet various challenges. This paper presents a new statistical mapping characterization method that corresponds positioning coordinates, composition, microstructure, and properties, based on a self-designed highthroughput integrated positioning system that combines four instruments: XRF, XRD, metallographic microscope, and microhardness tester. By attaching a specially designed integrated positioning module to the mobile platforms of these four instruments, a unified coordinate system is formed. Samples are embedded in a dedicated sample loading module, and their data are characterized in a high-throughput manner following a prescribed workflow. By converting the actual coordinates of each instrument, a unified and integrated coordinate system is created for high-throughput characterization. Additionally, the dedicated sample loading module and the sample are stored together, preserving the coordinate system of the sample permanently for future experiments, allowing for direct retrieval of the coordinate system. First, a central point and 24 additional marker points are marked on the honeycomb sample using the microhardness tester. Then, the sample loading module and positioning modules of the instruments are used for precise positioning. After coordinate transformation, hardness marker points are recorded from the other three instruments, and measurement tools are utilized to assess the error of the entire positioning system. The error validation uses the hardness marker center point as the origin; by calculating Δx and Δy from the coordinates of the hardness center point and each hardness measurement point, the actual coordinates of the other three instruments are derived based on the Δx and Δy values along with their respective origin coordinates. This process enables a statistical mapping of corresponding coordinates for each point. The coordinate transformation process follows the above experiments, where marker points are first placed at the center of the microhardness tester, and then 24 additional marker points are recorded alongside their coordinates. The central point serves to calculate Δx and Δy and to determine the coordinates of the center points of other instruments. Using the Δx and Δy from hardness measurements, the true coordinates of the feature points of the other three instruments relative to the center point are calculated. This system achieves a positioning error of ≤40 μm. Taking hot isostatically pressed high-temperature alloy honeycomb samples as an example, high-throughput integrated characterization experiments related to the composition-structure-performance correlation of metal samples have been conducted. A total of 106 honeycomb pores were examined. The XRF characterization employed large spot technology to measure the major elemental content across the 106 honeycomb pores, while the XRD testing area measured 500 μm × 400 μm, providing information on the sample’s phase composition. The metallographic microscope yielded 106 metallographic images, and the microhardness tester acquired 106 hardness points and their respective values. Based on the aforementioned experimental data, a high-throughput integrated characterization statistical mapping database was developed. It comprises four sections of raw data categorized by serial number, coordinates, composition, phases, microstructure images, and hardness performance, with each raw data entry being viewable and downloadable. Additionally, a data analysis section was designed for the statistical mapping database, including the serial number, coordinates, XRF area scans, XRF average values, XRD spectra, XRD phase compositions and percentages, metallographic images, grayscale values, hardness images, diagonal lengths, and hardness values. The experimental data were stored in a self-developed high-throughput integrated statistical mapping database, enabling the data to be queryable, viewable, downloadable, and batch-saved. This provides new insights for high-throughput characterization technology and offers methodological and data support for materials research and development.

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