High-Throughput Synthesis and Analysis
Our Approach to High-Throughput Synthesis and Analysis
Starting from a combinatiorial synthesis using an automated robot, we strive to create a general material database of high-entropy materials. We do so by running a full analysis of the materials, includung their targeted properties for several applications as investigated in the other fields of the high-entropy materials (HEMs) activities of the Nanostructured Materials group. With this data and the results of additional theoretical investigations and validations, a machine learning approach will be developed to predict new HEMs with desired properties.
The combinatorial synthesis will be based on an automated system (robot) that allows solution-based mixing of the individual precursors.
Structural analysis is done using X-ray diffractometry (XRD). The Ga-jet system at INT allows for high-grade diffractograms in very short measurement times due to high intensity of the X-rays. The heavily reduced measurement times and an automated sample loading system are a key necessities for a large-scale analysis of the manifold HEOs that will be synthesized using the robot.