In:
Journal of Materials Informatics, OAE Publishing Inc., ( 2021)
Abstract:
In recent years, the advent of machine learning (ML) in materials science has provided a new tool for accelerating the design and discovery of new materials with a superior combination of mechanical properties for structural applications. In this review, we provide a brief overview of the current status of the ML-aided design and development of metallic alloys for structural applications, including high-performance copper alloys, nickel- and cobalt-based superalloys, titanium alloys for biomedical applications and high strength steel. We also present our perspectives regarding the further acceleration of data-driven discovery, development, design and deployment of metallic structural materials and the adoption of ML-based techniques in this endeavor.
Type of Medium:
Online Resource
ISSN:
2770-372X
DOI:
10.20517/jmi.2021.08
Language:
Unknown
Publisher:
OAE Publishing Inc.
Publication Date:
2021
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