Unlocking the Potential of CuAgZr Metallic Glasses: A Comprehensive Exploration with Combinatorial Synthesis, High‐Throughput Characterization, and Machine Learning

Abstract In this work, the CuAgZr metallic glasses (MGs) are investigated, a promising material for biomedical applications due to their high strength, corrosion resistance, and antibacterial activity. Using an integrated approach of combinatorial synthesis, high‐throughput characterization, and mac...

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Bibliographic Details

Published in:	Advanced Science
Main Authors:	Krzysztof Wieczerzak, Alexander Groetsch, Krzysztof Pajor, Manish Jain, Arnold M. Müller, Christof Vockenhuber, Jakob Schwiedrzik, Amit Sharma, Fedor F. Klimashin, Johann Michler
Format:	Article
Language:	English
Published:	Wiley 2023-11-01
Subjects:	high‐throughput characterization machine learning material library mechanical properties metallic glasses
Online Access:	https://doi.org/10.1002/advs.202302997