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Exploration of Alloy Composition-Phase Relationships: High-Throughput Experimental Concepts and Approaches

Liang Jiang1,*

1 Institute for Advanced Studies in Precision Materials, Yantai University, Yantai, 264005, China

* Corresponding Author: Liang Jiang. Email: email

The International Conference on Computational & Experimental Engineering and Sciences 2024, 29(1), 1-1. https://doi.org/10.32604/icces.2024.012946

Abstract

The Materials Genome Engineering (MGE) spurs the developments and applications of methods and tools in high-throughput experiments, integrated computation materials engineering and big data. Due to the unique importance and characteristics of structural alloys, there are great needs for MGE high throughput experimental methods and tools to enable efficient establishment of the complex alloy composition-microstructures-property relationships. To explore the alloy composition-phase relationships, several high-throughput experimental concepts are discussed. The diffusion-based high-throughput experimental concepts and approaches are highlighted from generating composition spread, automating characterization, and to illustrating systematic analysis. In particular, the evolution of diffusion multiple concepts and approaches demonstrated its efficiency, reliability and vitality to the high-throughput experimental methods and to the MGE at large.

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Cite This Article

APA Style
Jiang, L. (2024). Exploration of alloy composition-phase relationships: high-throughput experimental concepts and approaches. The International Conference on Computational & Experimental Engineering and Sciences, 29(1), 1-1. https://doi.org/10.32604/icces.2024.012946
Vancouver Style
Jiang L. Exploration of alloy composition-phase relationships: high-throughput experimental concepts and approaches. Int Conf Comput Exp Eng Sciences . 2024;29(1):1-1 https://doi.org/10.32604/icces.2024.012946
IEEE Style
L. Jiang, "Exploration of Alloy Composition-Phase Relationships: High-Throughput Experimental Concepts and Approaches," Int. Conf. Comput. Exp. Eng. Sciences , vol. 29, no. 1, pp. 1-1. 2024. https://doi.org/10.32604/icces.2024.012946



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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