A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics

A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics

Machine learning tools represent key enablers for empowering material scientists and engineers to accelerate the development of novel materials, processes and techniques. One of the aims of using such approaches in the field of materials science is to achieve high-throughput identification and quant...

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Bibliographic Details
Main Authors: Frederic E. Bock, Roland C. Aydin, Christian J. Cyron, Norbert Huber, Surya R. Kalidindi, Benjamin Klusemann
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Materials
Subjects:
machine learning
materials mechanics
data mining
process-structure-property-performance relationship
knowledge discovery
Online Access:https://www.frontiersin.org/article/10.3389/fmats.2019.00110/full

Internet

https://www.frontiersin.org/article/10.3389/fmats.2019.00110/full

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