A High-Throughput Structural and Electrochemical Study of Metallic Glass Formation in Ni–Ti–Al
Howie Joress, Brian L. DeCost, Suchismita Sarker, Trevor M. Braun, Sidra Jilani, Ryan Smith, Logan Ward, Kevin J. Laws, Apurva Mehta, Jason R. Hattrick-Simpers
Abstract
On the basis of a set of machine learning predictions of glass formation in the Ni–Ti–Al system, we have undertaken a high-throughput experimental study of that system. We utilized rapid synthesis followed by high-throughput structural and electrochemical characterization. Using this dual-modality approach, we are able to better classify the amorphous portion of the library, which we found to be the portion with a full width at half maximum (fwhm) of >0.42 Å –1 for the first sharp X-ray diffraction peak. Proper phase labeling is important for future machine learning efforts. We demonstrate that the fwhm and corrosion resistance are correlated but that, while chemistry still plays a role in corrosion resistance, a large fwhm, attributed to a glassy phase, is necessary for the highest corrosion resistance.