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A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al
Based on 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...
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Published in: | arXiv.org 2019-12 |
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creator | Howie Joress DeCost, Brian L Sarker, Suchismita Braun, Trevor M Jilani, Sidra Smith, Ryan Ward, Logan Laws, Kevin J Mehta, Apurva Hattrick-Simpers, Jason |
description | Based on 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-half-maximum (FWHM) of 0.42 A\(^{-1}\) for the first sharp x-ray diffraction peak. We demonstrate that the FWHM and corrosion resistance are correlated but that, while chemistry still plays a role, a large FWHM is necessary for the best corrosion resistance. |
doi_str_mv | 10.48550/arxiv.1912.09330 |
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subjects | Aluminum Amorphous materials Corrosion resistance Electrochemical analysis Glass formation Machine learning Metallic glasses Nickel Organic chemistry Structural analysis Titanium |
title | A high-throughput structural and electrochemical study of metallic glass formation in Ni-Ti-Al |
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