High‐Throughput Screening of REBCO Superconducting Thin Films Fabricated Via Combinatorial Inkjet Printing and TLAG Process

High‐throughput screening has revolutionized material design, enabling the accelerated development and optimization of materials through data‐driven approaches. This study employs drop‐on‐demand inkjet printing to fabricate combinatorial superconducting (REBCO, ) thin films with a controlled compositional gradient, allowing a systematic investigation of Rare Earth composition effects on the Transient Liquid Assisted Growth (TLAG) process. A methodological framework is established for fabricating and characterizing combinatorial REBCO thin films. Automated and synchrotron‐based techniques—including Interferometry, EDX, XRD, and Scanning Hall Probe Microscopy (SHPM)—are used to build comprehensive property maps, revealing composition‐driven variations in crystal growth and superconducting properties. Furthermore, SEM and STEM confirm REBCO crystal quality and provide deeper material insights at specific combinatorial sample locations. This framework also lays the groundwork for integrating machine learning approaches into the understanding of the TLAG process and predicting the final quality of REBCO superconductive thin films. By bridging combinatorial synthesis, advanced characterization, and data‐driven analysis, this study establishes a workflow that can be leveraged in the future to facilitate the scaling‐up of TLAG technology for industrial applications.