Combinatorial Synthesis & High Throughput Characterization of Shape Memory Alloy Thin Film Libraries for Thermoelastic Cooling

We utilize combinatorial deposition of metallic alloy thin films and high throughput characterization to generate large sets of data for machine learning. Autonomous capability designed in our group to achieve rapid characterization with upgradable feedback loops is applied to shape memory alloy thin film libraries to determine composition with ambient transformation temperatures. We demonstrate the clustering analysis of crystal structure for fast identification, grouping, and qualitative assessment.