Architectured Lattice Materials with Tunable Anisotropy: Design and Analysis of the Material Property Space with the Aid of Machine Learning-Reference-Cited by-同舟云学术

Architectured Lattice Materials with Tunable Anisotropy: Design and Analysis of the Material Property Space with the Aid of Machine Learning

Published:2020-10-23 Issue:12 Volume:22 Page:2001069
ISSN:1438-1656
Container-title:Advanced Engineering Materials
language:en
Short-container-title:Adv. Eng. Mater.

Author:

Kulagin Roman¹^ORCID,Beygelzimer Yan²,Estrin Yuri¹³,Schumilin Artem⁴,Gumbsch Peter⁵⁶

Affiliation:

1. Institute of Nanotechnology Karlsruhe Institute of Technology Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany

2. Donetsk Institute for Physics and Engineering named after A.A. Galkin National Academy of Sciences of Ukraine Nauki Ave., 46 03028 Kyiv Ukraine

3. Department of Materials Science and Engineering Monash University 22 Alliance Lane Clayton 3800 Australia

4. Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany

5. Institute for Applied Materials Karlsruhe Institute of Technology Straße am Forum 7 76131 Karlsruhe Germany

6. Fraunhofer Institute for Mechanics of Materials, IWM Wöhlerstraße 11 79108 Freiburg Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Condensed Matter Physics,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adem.202001069

Reference39 articles.

1. Anatomical Description and Its Limitations

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3. Conical Refraction of Elastic Waves by Anisotropic Metamaterials and Application for Parallel Translation of Elastic Waves

4. Composite Materials

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