Designing a Periodic Table for Alloy Design: Harnessing Machine Learning to Navigate a Multiscale Information Space

We provide an overview of how to apply statistical learning methods to directly track the role of alloying additions in the multiscale properties of alloys. This leads to a mapping process analogous to the Periodic Table where the resulting visualization scheme exhibits the grouping and proximity of...

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Bibliographic Details
Published in:	JOM (1989) Vol. 72; no. 12; pp. 4370 - 4379
Main Authors:	Broderick, Scott R., Rajan, Krishna
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.12.2020 Springer Nature B.V
Subjects:	Alloy development Alloying elements Alloys Augmenting Physics-based Models in ICME with Machine Learning and Uncertainty Quantification Chemistry Chemistry/Food Science Design engineering Earth Sciences Engineering Environment Machine learning Mechanical properties Periodic table Physics Statistical methods Trends
ISSN:	1047-4838, 1543-1851
Online Access:	Get full text
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