Latest Advances in Manufacturing and Machine Learning of Bulk Metallic Glasses

Latest Advances in Manufacturing and Machine Learning of Bulk Metallic Glasses
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块状金属玻璃制造和机器学习的最新进展

DOI:
10.1002/adem.202201493
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发表时间:
2023
影响因子:
3.6
通讯作者:
Cadieux, Zachary
Cadieux, Zachary
中科院分区:
材料科学3区
文献类型:
--
作者:
Graeve, Olivia A.;García-Vázquez, Mireya S.;Ramírez-Acosta, Alejandro A.;Cadieux, Zachary

文献摘要

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在这篇综述中,新型非晶金属合金的开发重点关注两个相互关联的领域,即用于设计新合金成分的材料加工和机器学习技术。描述了针对粉末生产和烧结、增材制造和后处理技术的发现、障碍和机遇,随后介绍了用于新合金设计和合金分类任务的人工智能算法的最新发展。
In this review, two interrelated areas are focused on for the development of novel amorphous metallic alloys, namely, materials processing and machine learning techniques for the design of new alloy compositions. Findings, barriers, and opportunities are described, targeting powder production and sintering, additive manufacturing, and postprocessing techniques, followed by the latest developments in artificial intelligence algorithms for both the design of new alloys and for alloy classification tasks.