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

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
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
Series:Advanced Science
Subjects:
high‐throughput characterization
machine learning
material library
mechanical properties
metallic glasses
Online Access:https://doi.org/10.1002/advs.202302997

Internet

https://doi.org/10.1002/advs.202302997

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