fig7

High-entropy alloy catalysts: high-throughput and machine learning-driven design

Figure 7. Illustration of the steps incorporated into the integrated HT-READ methodology. Clockwise from the top left, computational screening utilizing CALPHAD and the ML model provides recommendations for sample library compositions. The samples are then synthesized, processed, characterized, tested and analyzed in an automated HT fashion. New data are utilized to improve the subsequent screening and design. Reproduced with permission[77]. Copyright 2021, Elsevier. CALPHAD: calculations of phase diagrams; SEM: scanning electron microscopy; XRD: X-ray diffraction; HT-READ: HT rapid experimental alloy development; HT: high-throughput.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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